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have a strong interest in process-oriented research in plant physiology/plant ecology. Practical experience in field work, statistical data analysis (R), knowledge of German and a driver's licence are
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soil characterization techniques. A strong command of English is indispensable. Skills in R, MATLAB or Python are helpful. The effective exchange within the interdisciplinary collaboration will be
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Proficiency in programming (e.g., Python, R) and related software tools. What We Offer Tuition waived and education at both institutions Employment contract according to 75% TVL 13 German civil servants pay
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27.06.2023, Wissenschaftliches Personal Gesucht wird ein*e wissenschaftliche*r Mitarbeiter*in, für die Lehre im Bachelor Gesundheitswissenschaften und internationalen englischsprachigen Master of
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Zukunftslabor Grüner Wasserstoff zum nächst möglichem Termin in Vollzeit zu besetzen. Ihre Aufgaben: Als eine(r) von drei WissenschaftlerInnen (mit abgeschlossener Promotion / post doc- bzw. Professoren-level
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production, agriculture broadly, and/or smart technologies is desirable. • Experience in modelling biological or agricultural systems, with strong programming skills (R, Python, or Matlab
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conducting work overseas (Africa or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab
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discipline or in public health, social epidemiology Fluent English language skills (written and oral) Ability to analyze quantitative data using Stata or other software programs (e.g., SPSS or R) Ability
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of statistical modeling and inverse problems is desirable Experience with programming languages, e.g., C++, MATLAB, Python, Julia, R Joy in dealing with challenging and interdisciplinary questions Sound knowledge
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(e.g. Python, R, …). Familiarity to work on a Linux computing cluster (HPC). Preferably experience in working with large medical image data. Vivid interest in the analysis of microscopy images or similar