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: A qualifying university master’s degree in physics, engineering, meteorology, or a comparable field. Knowledge of fluid dynamics or nonlinear systems Experience in programming with Matlab or Python
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components, control engineering, optimization, or systems theory. Practical programming experience in PYTHON and/or MATLAB. A self-reliant work style and effective communication skills in German or English
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numerical and experimental aspects, profound knowledge of control engineering, preferably with experimental experience, extensive experience in programming with at least Matlab or Python, high motivation and
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using geographic information systems (GIS) and programming languages (e.g. Matlab, Python, R) and working with large data sets and data formats, such as netCDF, HDF, including analysis tools such as NCO
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microscopy in biological science; digital signal processing; computer-aided design of optical and photonic systems; LabView; MatLab/SimuLink) Scientific modules (Summer School; Karlsruhe Days of Optics
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” or Neuroeconomics is highly welcome, but not mandatory Knowledge of neuroscientific methods (fMRI, EEG, MEG or NIRS) and/or in psychophysics would be of great advantage Programming skills in Matlab, R or python and
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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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heat- and mass transfer problem is advantageous First Experiences in MATLAB or Python (NumPy, SciPy) are required A high degree of initiative, independence and motivation Good language skills in English
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institute, we are open to applications and ideas from other fields. Fundamentally, prior knowledge in one or more of the following aspects is helpful for our topics Programming (Python, C++, or Matlab
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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