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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
Environmental science » Other Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country Switzerland Application Deadline 9 Mar 2026 - 22:59 (UTC) Type of Contract Permanent Job Status Full
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innovation? Are you eager to work with Social Network Analysis models (statistical and/or agent-based)? Do you want to be part of a larger lab of researchers? Information You will be a postdoc within ILUSTRE
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astronomy/astrophysics. Recruit & supervise PhD students and potential postdocs. Teach effectively at both undergraduate and graduate levels in Physics & Astronomy. Contribute to departmental service and
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/357281/two-postdocs-in-dynamic-risk-mo… Requirements Specific Requirements You hold a PhD in quantitative sciences (e.g., computer science, statistics, psychology, computational psychiatry, or related
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associate is expected to engage in research at the interface of mathematics and statistics with applications to the life sciences, broadly defined. Based on background, strengths and interests, the postdoc
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Researcher, and according to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a
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theory, physics, mathematics, computer science, and statistics. This Postdoc position falls under Research Thrust RT4 on Reliability and Trustworthiness. The objective is to explore and address research
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Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across six Departments. About the Medical Statistics: https://www.kcl.ac.uk
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seeking applications for up to 1-2 Temporary (through August 2026) full-time Post-Doctoral Associate (9546 Post-Doctoral Associate) positions. For more info on the division, visit http://www.sph.umn.edu
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preparation for sequencing) Work with state-of-the-art microarray and imaging systems. Analyze experimental data statistically and contribute to method development and troubleshooting. Ideal Applicants Must