47 postdoc-in-thermal-network-of-the-physical-building PhD positions at Leibniz in Germany
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personal skills. Candidates ideally combine several of the following skills and qualifications: A very good M.Sc. degree (or equivalent) in biology, physics, computer science, maths or a similar field A
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of artificial intelligence starting in the department Physical Oceanography for a period of 36 months and a percentage of 75% (30h/week), subject to the funding of the project(s) by January 1, 2026. Remuneration
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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‘Forschungsgesellschaft für Arbeitsphysiologie und Arbeitsschutz e.V. Dortmund’ (legal entity name) is a research institution institutionally funded by the German Federal Ministry of Labor and
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of traits such as visual anther extrusion, heading date, plant height, and grain yield. You process genotypic data, ensure its alignment with phenotypic data, and conduct association analyses to identify
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for the purpose of the selection procedure for this advertised position. The legal basis for data processing in the application process and as part of the personnel file is Section 26 (1) sentence 1 BDSG and Art. 6
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stochastic differential equations based on the path signature of the driving process. We are looking for: The applicant should hold a completed PhD in Mathematics or nearby field (at the starting date