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Areas: Biology Computational Science Interdisciplinary Mathematical and Information Science Appl Deadline: (posted 2025/06/22, updated 2025/06/11, listed until 2026/01/01) Position Description: Apply
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology
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, Biophysics , Cell & Molecular Neurobiology , Cell Biology , Climate-change Biology , Computational biology , Ecology , Epigenetics , Evolution , Evolutionary Biology , Immunology , Infectious Diseases , marine
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) the population dynamics of vector-borne diseases and other climate-sensitive infectious diseases, and (2) the eco-evolutionary dynamics of host-pathogen systems including questions on the origin and maintenance
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The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious new project on dexterous robot learning. In
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in biology, forest sciences, environmental sciences, or data sciences. A strong background or motivation to learn ecological genetics and evolutionary biology as well as competence in bioinformatics
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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Location: University Mohammed VI Polytechnic, College of Computing, Bioinformatics Laboratory, Ben Guerir, Morocco. Duration: 2 years About the Lab/Institution: The Bioinformatics Laboratory
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin