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are governed not only by differential equations, but also by geometric constraints, conservation laws, symmetries, and interactions across multiple spatial and temporal scales. Developing mathematical
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working knowledge of spatial transcriptome and scRNA-seq library generation and related bioinformatics skills, mouse models of chronic asthma, and FlexiVent analysis. Certifications/Licenses Required
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submission portal are here: https://www.umu.se/en/work-with-us/open-positions/phd-position-in-environmental-science-with-focus-on-marine-observation-system-resilience_943599/ Application deadline: 16 August
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) Positions PhD Positions Application Deadline 28 Aug 2026 - 02:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Nov 2026 Is the job
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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
-cell and spatial omics, precision medicine (Genome Biology ), multi-scale models in space and time for organelles and cells (Cell Biology and Biophysics ) or collectives of unicellular and
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science or computer science. demonstrable programming skills (e.g., Python, R) and experience handling spatial datasets. experience of probabilistic modelling, geostatistics, or machine learning. ability
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University Medical Center Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq, RNA seq, single cell sequencing, spatial transcriptomics
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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experience in computational systems modeling, simulation, and analytics. Experience with analyzing multi-omics data (e.g., single cell and/or spatial transcriptomics, metabolomics, etc), computational biology
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computer science. demonstrable programming skills (e.g., Python, R) and experience handling spatial datasets. experience of probabilistic modelling, geostatistics, or machine learning. ability to work independently