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Start Date: As soon as possible. Fixed term: Until 13 August 2025. Applications are sought for a committed Post-doctoral Research Fellow to work in the Kosiol Group conducting research for a BBSRC funded project entitled “Deep learning: Linkage effects and balancing selection". This post will...
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strong background in bioinformatics and passion in exploring the heterogeneity and evolution of normal, progenitor, and tumor cells as well as the tumor microenvironment (TME) using state-of-the-art single
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Fellow/Senior Research Fellow in bioinformatics/environmental genomics. This position is part of the research department led by Prof. Stephan C. Schuster, focusing on environmental genomics, culturomics
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area of Bioinformatics to fulfil that vision. The candidate will help drive collaborations with various research groups and initiatives within the school by delivering high quality computational analyses
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on bioinformatics/data analyses of data from multi-omics technologies to discover the acute and long-term effects of exercise on breastmilk composition. The positions are available at the Exercise, Cardiometabolic
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information to advance the field of Precision Medicine As a successful candidate, you will: • Develop and implement computational pipelines and innovative bioinformatics strategies for the molecular
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is an ERC Starting Grant project. The overall aim of the project is to determine how exercise can modify breastmilk composition. The postdoctoral fellows will focus on bioinformatics/data analyses
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10th June 2024 Languages English English English The Department of Circulation and Medical Imaging has a vacancy for a Postdoctoral Fellows in Bioinformatics in the EU-funded ExMilk project Apply
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workshops to enhance the collaborative network. Applicants should have a postagraduate degree, ideally a doctoral degree, in a relevant topic, relevant experience in bioinformatics, computational biology or
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relevant topic, relevant experience in bioinformatics, computational biology or machine learning, proven ability to work independently, as well as collaboratively as part of a research team, and proven