208 programming-language-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at Nature Careers
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should have experience with network modelling and programming. Experience with systematic reviews and meta-analyses is an asset, but not a prerequisite for the position. The successful candidate will work
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to work independently and to supervise undergraduates and PhD students. Excellent written and spoken English. Benefits: international working environment with communication in English and German interesting
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. Commencement into the program is contingent upon PhD thesis submission 3. Fellowships: During their time at MPG, postdocs positions are according to the German regulations and guidelines, and based
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: Extensive experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop aboveground biomass quantification Insight
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programming languages (e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability
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. The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching
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science skills are also desirable Ability to work independently and take initiative Excellent written and spoken English skills We offer international working environment with communication in English and
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peer relevant media. Excellent command of English, both written and spoken You are goal-oriented and have a high motivation to strive for scientific excellence. You are not entitled to compensation
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setups and instrumentation, in particular in-situ computer tomography Proficiency in one or more programming languages relevant to the task (e.g., Python, Matlab, LabVIEW, C++) Experience in programming
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, parameterization, simulation experiments, and output analysis very good programming skills in at least one language (e. g., R, Python, C++, or Julia) a strong interest in interdisciplinary work (e. g., demonstrated