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The Department of Mathematics and Mathematical Statistics, Umeå University, invites applications for a two-year postdoctoral fellowship in data-driven analysis of a subarctic ecosystem near Kiruna
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bioinformatics methods have made significant strides, AI approaches - particularly deep learning - are revealing patterns and relationships in biological data that were previously inaccessible. As a postdoctoral
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share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb Division
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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opportunities for early-career researchers to develop and specialize in this important field. More information here . Project Overview This project will explore how global change influences lake food webs and
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develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both
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Together with The Laboratory for Molecular Infection Medicine Sweden (MIMS) and the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) , Umeå University is looking
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experimental and computational tools, and are currently recruiting for the following roles: Position 1: AI and data science approaches applied to genomics and spatial omics Position 2: Experimental islet and
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cohorts. Duties The project combines single-cell, multi-omics data with large scale human genetics to investigate the cellular origin of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD
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/ ) at the University of Cambridge, UK. Purpose: We aim to develop optimised lead molecules, supported by proof-of-concept data from both biochemical and cellular assays, alongside protein-ligand structure determination