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Deadline 5 Apr 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Deadline 19 Jan 2038 - 03:14 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Postdoc (f/m/d) Computational Ecologist/Species Distribution Modeller / Completed university stud...
Area of research: Scientific / postdoctoral posts Starting date: 01.05.2025 Job description: Postdoc (f/m/d) Computational Ecologist/Species Distribution Modeller With cutting-edge research in
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optional for research analysts) Requirements: Master’s Degree or PhD in Physics, Engineering, Chemistry, Economics, Environmental Sciences, Mathematics, Computational Sciences or a related field Excellent
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broadly usable computational methods and tools. Your Profile: You have a PhD relevant to computational biology, e.g., in bioinformatics, systems biology, or in statistics, physics, computer science with
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optional for research analysts) Requirements: Master’s Degree or PhD in Physics, Engineering, Chemistry, Economics, Environmental Sciences, Mathematics, Computational Sciences or a related field Excellent
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of gifted and talented students. The successful candidate will be part of the team of the scientific monitoring of the Hector Children’s Academies Program (HCAP). The HCAP is funded by the Hector Foundation
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. Your profile: PhD in (bio-)informatics, computational biology, computer science, or related fields; alternatively, a degree in life sciences in combination with a track record in data analysis, Profound
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research group: The Junior Research Group “Evolution of Metabolome Adaptations” is an upcoming research group in the Program Center MetaCom that will be initiated in June 2025. One of the main research lines
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PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical