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independent research interests. Your profile Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python; fluent English. Preferred: experience with
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in planning and conduction of patient-oriented, clinical research projects Very good knowledge of clinical and/or epidemiological study methodology and design Good knowledge in statistical methods and
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conferences. Enjoy protected research time to pursue independent research interests. Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python
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statistical evaluation Machine learning analyses: implementation of established and new workflows Coordination of activities with Consortium partners, including presentation of results at consortium meetings
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
PhD degree in Biology or Environmental Sciences and have a strong background in multivariate statistical analyses, chemical ecology, plant-herbivore interactions and experimental planning. Furthermore
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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
intelligence methods for image classification is an advantage (e.g. CNN). Sound ecological knowledge of community and habitat characteristics in Switzerland is an advantage. You work comfortably with statistical
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; motivational Letter, max. 2 pages; transcript of records and grade statistics from the university degree(s); and contact details of 2 referees. Please note that we exclusively accept applications submitted