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understanding of neutron scattering and magnetism; Experience with density functional theory; Experience in statistics and programming. • Manual skills and rigorous attention to detail are essential in this work
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quantitative genetics methodology. You also possess: A successfully completed MSc degree in a relevant quantitative field (e.g. Animal or Plant breeding, Quantitative genetics, Population or Statistical genetics
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supported by the new TERRA Molecular Biodiversity Lab. The project will include field work in South Africa. Candidates interested in this position should hold an MSc with a background in evolutionary biology
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experience and profile MSc in artificial intelligence, statistics, computer science or a related field; Strong background in machine learning and/or statistics; Preferred prior knowledge/experience with
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to read more about the project description.) What we expect The applicant should have completed a Master’s degree (MS / MSc / MTech / ME etc.) in Software Engineering, Information
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applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
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training support (€2,500 per year). Eligibility Criteria Essential • BA or MA/MSc in relevant discipline/s for the call (e.g., sociology, population sciences, psychology, computational social sciences; HCI
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Technologies de l'Information et de la Communication Field: Telecommunications / Machine Learning / Statistical Signal Processing. Research Lab: L2S (Laboratoire des Signaux et Systèmes) Advisor: Antoine BERTHET
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Other) The successful applicant would study an appropriate master’s degree, such as: MSc Environmental Futures with Climate Change In 2022 world leaders agreed targets to reverse biodiversity loss by 2050
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) Teaching language English Languages All courses are held in English. Programme duration 6 semesters Beginning Winter and summer semester Application deadline Interested MSc graduates or doctoral candidates