19 postdoc-computational-fluid-dynamics Postdoctoral positions at UNIVERSITY OF HELSINKI
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This project aims to identify the spatial genetic and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data
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Department of Computer Science of Faculty of Science invites applications for a POSTDOCTORAL RESEARCHER IN ALGORITHMS AND COMPUTATIONAL BIOLOGY starting from September 2025, or as agreed
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-Cell Genomics through the NORPOD program NORPOD is a collaborative postdoctoral program of the Nordic EMBL Partnership for Molecular Medicine . The partnership is a network of four national research
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dysfunction. An ensemble of multi-scale computational approaches (molecular dynamics simulations, quantum chemistry, machine learning) are applied to study the mechanistic aspects of biomolecules in great depth
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background in surface complexation, chemical thermodynamics, and surface reaction processes. Experience in any kind of molecular dynamics simulations. Experience in any computational fluid dynamics (CFD
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and Environment Research Programme The position is for a fixed term period for 2 years and available from September 2025 onwards (or as agreed). The position is based in the Ecology and Environment
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well as newly developed computational methods. You will report your results in a scientific publication as a first author with the support of other members of the group. Skills, experience/qualifications
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or one postdoctoral and one doctoral researcher for: (i) Remote sensing advised country-wide genotype-phenotype linking, and (ii) Country-wide study of genetic adaptation and population structure dynamics
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communication are regulated (1-3). The successful candidate will focus on the dynamics and molecular mechanisms of the Interplanar Amida Network (IPAN) – a membrane protrusion network – using a multidisciplinary
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics