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scientific applications. The CGR lab conducts research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic
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scientific applications. The CGR lab conducts research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic
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Subject description The postdoc will be part of broad project about the genetics of long-distance migration in birds, funded by an ERC-advanced grant to Staffan Bensch. The project has three main
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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data and multimodal datasets combining imaging and molecular measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with
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methods are developed in parallel, the postdoc will develop systems and services that make biological data accessible to AI and computational tools, collaborating closely with the Human Protein Atlas (HPA
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measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
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DNA-based approaches. Interactions among nitrogen-fixing organisms (diazotrophs), fungi, and plants may also be explored. The postdoc will join the Forest Vegetation Ecology group and be supervised by
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requirements, what we are really looking for is a creative, quantitatively strong scientist who likes to invent. Your PhD might be in physics, computer science, computational or systems biology, bioinformatics
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2 Jul 2026 Job Information Organisation/Company universitypositions Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application