YOUR PROFILE
We are seeking a talented and highly motivated PhD student (m/f/div) to undertake pioneering research in bioinformatics and genomics at the interface with biology. The applicant (m/f/div) should bring along a master’s degree in computational biology, bioinformatics, computer science, (bio)statistics, mathematics, or related fields. The ideal candidate (m/f/div) will demonstrate a strong drive to excel in a dynamic, international, and collaborative research environment. Previous experience in genome-wide data analysis, including RNA-seq, single-cell RNA-seq, or ChIP-seq, as well as basic competence in a programming language such as Python or R will be advantageous. Please indicate your proficiency level in your cover letter.\r\n
OUR OFFER
- \r\n\t
- a fixed-term appointment for three years, with the possibility of further extension contingent upon a successful evaluation \r\n\t
- salary is in accordance with pay group 13 of the TVöD \r\n\t
- admission to the CiM-IMPRS graduate programme including access to a wide range of courses, lectures and additional services (mpi-muenster.mpg.de/78746/phdprogram)\n \r\n\t
- the working language in the institute is English - but with the international and German team it is a great opportunity for you to learn German! \r\n\t
- friendly and collegial working atmosphere \r\n\t
- compatibility of family and career through the possibility to arrange working hours individually and flexibly \r\n\t
- childcare facility (U3) at the institute \r\n\t
- company health management (BGM) including a work-life portal \r\n
","qualifications":"We are seeking a talented and highly motivated PhD student (m/f/div) to undertake pioneering research in bioinformatics and genomics at the interface with biology. The applicant (m/f/div) should bring along a master’s degree in computational biology, bioinformatics, computer science, (bio)statistics, mathematics, or related fields. The ideal candidate (m/f/div) will demonstrate a strong drive to excel in a dynamic, international, and collaborative research environment. Previous experience in genome-wide data analysis, including RNA-seq, single-cell RNA-seq, or ChIP-seq, as well as basic competence in a programming language such as Python or R will be advantageous. Please indicate your proficiency level in your cover letter.","datePosted":"2024-06-05T14:29:11.000+00:00","educationRequirements":{"credentialCategory":"postgraduate degree","@context":"https://schema.org","@type":"EducationalOccupationalCredential"},"responsibilities":"Under the supervision of Prof. Dr. Ralf Adams and Dr. Kai Kruse, the successful candidate will utilise advanced bioinformatic approaches to investigate the intricate interactions between endothelial cells and the surrounding tissue in bone. This will involve analysing state-of-the-art, genome-wide gene expression, chromatin structure, and transcription factor binding datasets characterising cellular and molecular heterogeneity through the exploration and comparison of tissue-specific RNA-, single-cell RNA-, and ATAC seq datasets exploring protein-DNA interactions using techniques such as ChIP-seq or CUT&RUN integrating publicly available datasets relevant to the systems under study developing and testing new bioinformatic tools to address targeted research questions","experienceRequirements":"no requirements","jobBenefits":"a fixed-term appointment for three years, with the possibility of further extension contingent upon a successful evaluation salary is in accordance with pay group 13 of the TVöD admission to the CiM-IMPRS graduate programme including access to a wide range of courses, lectures and additional services (mpi-muenster.mpg.de/78746/phdprogram) the working language in the institute is English - but with the international and German team it is a great opportunity for you to learn German! friendly and collegial working atmosphere compatibility of family and career through the possibility to arrange working hours individually and flexibly childcare facility (U3) at the institute company health management (BGM) including a work-life portal","hiringOrganization":{"name":"Max-Planck-Institute for Molecular Biomedicine","url":"https://www.jobvector.de/arbeitgeber-profil-jobs/max-planck-institute-for-molecular-biomedicine-26207.html","logo":"https://www.jobvector.de/images/media/employer/d/9/5/8/0/5/e/6/google4jobs/logo_treffer.png","@context":"https://schema.org","@type":"Organization"},"jobLocation":[{"longitude":7.62522999999999,"latitude":51.95172,"address":{"addressLocality":"Münster","addressCountry":"Deutschland","addressRegion":"Nordrhein-Westfalen","postalCode":"48149","streetAddress":"Röntgenstraße 20","@type":"PostalAddress"},"@context":"https://schema.org","@type":"Place"}],"employmentType":"[TEMPORARY, FULL_TIME]","salaryCurrency":"EUR","baseSalary":null,"validThrough":"2024-07-17T21:59:59.000+00:00","@context":"https://schema.org","@type":"JobPosting"}
The Max Planck Institute for Molecular Biomedicine in Münster, Germany, has an joint opening for a
PhD Student (m/f/div) in Bioinformatics and Genomics
in the Tissue Morphogenesis Department (mpi-muenster.mpg.de/96841/adams) and the Bioinformatics Service Unit (mpi-muenster.mpg.de/708453/bioinformatics).
YOUR TASKS
Under the supervision of Prof. Dr. Ralf Adams and Dr. Kai Kruse, the successful candidate will utilise advanced bioinformatic approaches to investigate the intricate interactions between endothelial cells and the surrounding tissue in bone. This will involve
- analysing state-of-the-art, genome-wide gene expression, chromatin structure, and transcription factor binding datasets
- characterising cellular and molecular heterogeneity through the exploration and comparison of tissue-specific RNA-, single-cell RNA-, and ATAC seq datasets
- exploring protein-DNA interactions using techniques such as ChIP-seq or CUT&RUN
- integrating publicly available datasets relevant to the systems under study
- developing and testing new bioinformatic tools to address targeted research questions
YOUR PROFILE
We are seeking a talented and highly motivated PhD student (m/f/div) to undertake pioneering research in bioinformatics and genomics at the interface with biology. The applicant (m/f/div) should bring along a master’s degree in computational biology, bioinformatics, computer science, (bio)statistics, mathematics, or related fields. The ideal candidate (m/f/div) will demonstrate a strong drive to excel in a dynamic, international, and collaborative research environment. Previous experience in genome-wide data analysis, including RNA-seq, single-cell RNA-seq, or ChIP-seq, as well as basic competence in a programming language such as Python or R will be advantageous. Please indicate your proficiency level in your cover letter.
OUR OFFER
- a fixed-term appointment for three years, with the possibility of further extension contingent upon a successful evaluation
- salary is in accordance with pay group 13 of the TVöD
- admission to the CiM-IMPRS graduate programme including access to a wide range of courses, lectures and additional services (mpi-muenster.mpg.de/78746/phdprogram)
- the working language in the institute is English - but with the international and German team it is a great opportunity for you to learn German!
- friendly and collegial working atmosphere
- compatibility of family and career through the possibility to arrange working hours individually and flexibly
- childcare facility (U3) at the institute
- company health management (BGM) including a work-life portal
YOUR APPLICATION
To apply, please submit your application with a letter of motivation, a full CV, and contact details of two academic referees via the "Apply Now" button by 23 June 2024.
For informal queries about the project, please feel free to contact Ralf Adams (email) or Kai Kruse (email).
The Max Planck Society is one of the leading research organisations in Europe. We offer challenging tasks with a high degree of personal responsibility and creative freedom in research laboratories, technical research and supply areas, workshops, and administration.
Not only do we promote outstanding young researchers in the research institutes, we are also committed to supporting in numerous vocational trainings.
The Max Planck Institute for Molecular Biomedicine conducts basic research into the development of cells, tissues, and organs. Using molecular and cell biological methods, researchers aim to find out how cells exchange information, which molecules control their behaviour, and which errors in the dialogue between cells lead to the development of diseases.
The Max-Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.
The Max Planck Society strives for gender equality and diversity.
Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
In order to actively live equality at our institute, we not only offer attractive framework conditions, but also, among other things, internal and external support options for balancing family and career.
Our institute’s large daycare centre offers care options for children under the age of three.
As an employer with a strong interest in employee satisfaction, occupational health management or the offer of internal and external training courses are naturally established at the institute.
Learn more about our Max Planck Institute for Molecular Biomedicine or the Max Planck Society at www.mpi-muenster.mpg.de.
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Vollzeit , Befristete Anstellung
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Aktualisiert am 05.06.2024
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Arbeitsort
Standort der Stelle
Röntgenstraße 20
48149 Münster
Nordrhein-Westfalen
Deutschland
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Since their founding, the institutes of the Max Planck Society have attached great importance to fostering the careers of young scientists. This covers everything from including students in research plans at the various institutes to supporting doctoral candidates and granting post-doctoral time-limited contracts to junior scientists and researchers. Here you will find information on your possible
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