113 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"IMPRS-ML"-"U" positions at Leibniz in Germany
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admission to municipal museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from the different expertise
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Doctoral Certificate Program in Agricultural Economics (www.agraroekonomik.de ) Institutional support to organisation and collection of relevant research data in Kyrgyzstan, Tajikistan and Uzbekistan
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to qualification programs and further training opportunities Remuneration according to the collective agreement of the federal states (TV-L) up to E 13 (including annual special payment) Company ticket A collegial
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Höchstfrequenztechnik (FBH) Teaching of 2 LVS in Bachelor's and Master's degree programs in Electrical Engineering or Micro-/Nanoelectronics and related study programs active contributions to initiatives such as the
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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Leibniz Association. The following position is available at the Institute subject to approval by the funding organization from October 1, 2025, for a fixed term of three years, in the program area "Next
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company pension plan (VBL) On-site opportunities for health promotion Who we are: The Leibniz Institute of Plant Biochemistry (IPB) is a non-university research institution of the Leibniz Association
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a region with a high quality of life Performance-related remuneration according to the collective agreement of the federal states (TV-L) as well as a company pension plan with VBLU Diverse
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of modern physical chemistry, materials science, and biochemistry questions. Our qualification program, measures for recruiting, gender equality and family friendliness are equally innovative and
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the