20 programming-"the"-"DAAD"-"EURAXESS"-"Prof"-"U"-"PDI-Service" PhD positions at Leibniz in Germany
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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of standard MS programs and a good command of written and spoken English. What we offer Employment in accordance with the collective agreement for the public service of the federal states (TV-L) A modern, well
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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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, Marine Geology and Marine Observation works interdisciplinary within a joint research programme. What will be your tasks? This position will be embedded in the overarching programme “STB - Shallow Water
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of selection for this job advertisement. Attention is hereby drawn to the risks involved in sending documents electronically. Further information on TROPOS and the doctoral program can be found on the homepage
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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
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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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company pension plan with VBLU Modern equipped offices, social rooms, company health promotion, parent-child room, etc. for a pleasant working environment (details on our social benefits at https
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, magnetic fields) and programming skills (e.g. Python) are desirable. Remuneration is based on the TV-L (EG 13, 26 h/week). The contract is limited to 3 years, which is the project duration, set by the German
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, or in a related discipline Profound data processing and image analysis skills Good knowledge in programming, ideally in Python Ability to work self-reliant and to collaborate in a team of scientists