39 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV"-"UNIV" Postdoctoral positions at Nature Careers in Germany
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Resilience, we are seeking as of February 2026 a Postdoctoral Researcher in Quantitative Psychology / Data Science in Psychology Reference number: 2025-0319 Your Tasks The successful candidate will use
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The Max Planck Institute for the Physics of Complex Systems in Dresden announces the opening of one or several Postdoctoral Positions in Condensed Matter and Quantum Information Theory The areas
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
information skills, initiative/commitment and ability to take action, decision-making skills and ability, ability to work in a team and willingness to cooperate, as well as conceptual, strategic and innovative
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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of Antarctic Marine Living Resources (CCAMLR), which aims to manage the fishery sustainably through ecosystem-based approaches that incorporate data on predator populations, ecosystem state, and krill abundance
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
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BC-Information Theorist (m-w-d)_E Fachbereich Biologie, Chemie, Pharmazie - Institut für Biologie AG Hiesinger Research assistant (Postdoc) (m/f/d) limited to 29.02.2028 (end of project
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following: flow cytometry, microscopy, NGS techniques and analysis, CRISPR-based epigenetic or genome editing Interest and ideally hands-on experience in bioinformatics analysis of NGS data (ChIP-seq, CUT&Tag
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of the Konstanz Research School Chemical Biology (KoRS-CB), an interdisciplinary graduate school of the Departments of Biology, Chemistry and Computer & Information Science. Our doctoral researchers are supported
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq