Data-Driven Postdoctoral Fellowship in Computational Biology

1 week ago


Copenhagen, Copenhagen, Denmark Københavns Universitet (KU) Full time

About the Opportunity

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We are offering a unique opportunity to join our research team as a Postdoctoral Researcher and contribute to groundbreaking research in the field of biomedical data science. The successful candidate will have the chance to work on a fascinating project focused on understanding the molecular underpinnings of diabetes and its associated cardiovascular complications.

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Job Responsibilities

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As a Postdoctoral Researcher, you will be responsible for designing and implementing studies, analyzing data, and communicating results through publications and presentations. You will work closely with our team to develop novel approaches to integrate large-scale omics datasets and identify novel molecular signatures associated with diabetes-related complications.

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Skills and Qualifications

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To succeed in this role, you should have a Ph.D. in bioinformatics, genomics, computer science, or related field, with a strong background in bioinformatics, genomics, computer science, and machine learning. Excellent computational skills, experience in single-cell omics analysis, and high-level proficiency in programming languages such as Python or R are required.

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Benefits and Opportunities

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This position offers a competitive salary, a stimulating work environment, and opportunities for professional growth and development. You will work in a dynamic and international research environment with access to cutting-edge facilities and collaboration with world-class researchers.

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Contact Information

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For further information, please contact Associate Professor Jordi Merino at jordi.merino@sund.ku.dk.

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Application Procedure

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Your online application must be submitted in English, including a motivated letter of application, CV, certified/signed copy of PhD certificate and Master of Science certificate, and list of publications.

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Application Deadline

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27 September 2024, 23:59pm CET.



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