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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
ecology, quantitative ecology, computational biology, or a related field, with a developing peer-reviewed publication record, excellent communication skills, and a collaborative mindset. This project
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23 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Environmental science » Earth science Researcher Profile Recognised Researcher (R2) Application Deadline 21 Apr 2026 - 21
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, or computer science. For Project A, experience with natural language processing and computational methods is advantageous, as well as knowledge of a behavioral science; for Project B, beyond experience with behavioral
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5 Dec 2025 Job Information Organisation/Company University of Basel Research Field Chemistry » Other Researcher Profile Recognised Researcher (R2) Country Switzerland Application Deadline 2 Jan 2026
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for publications and grant applications. Maintaining meticulous documentation of analyses and workflows using repositories such as GitHub. Your profile Ph.D. in bioinformatics, computational biology or a closely
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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19 Dec 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Other Economics » Consumer economics Economics » Marketing Economics » Other Researcher Profile
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expertise in cell culture and mouse studies. As the work involves the analysis of spatial transcriptomic data, basic expertise in computational biology, with experience in R and/or Python will be beneficial
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
11 Dec 2025 Job Information Organisation/Company Swiss Federal Institute for Forest, Snow and Landscape Research WSL Research Field Computer science » Other Environmental science » Earth science
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation