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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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RPTU Good at Python and/or C++ Basic knowledge of computer graphics and procedural generation techniques Familiarity with shading languages like OSL is a plus, but not required very good knowledge
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(e.g. Bayesian Statistics, HMMs, AI, advanced programming in Python) in small classes of max. 10 participants. Lecture series: QMB students suggest, invite, and host external speakers at this event
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studying electronics, computer science, information technology or a comparable subject You have initial experience with application development (python, c++) Knowledge on Kubernetes, docker advantageous A
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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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discipline Strong interest in automation of process steps (Python, LabView, or similar... Experience in one (or more) of the following areas is desirable: programming, automation, synthesis of inorganic
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Technology, Mechatronics, Computer Science, or a similar field? Do you have experience using Python and speak English? Do you have basic knowledge in artificial intelligence and machine learning, along with a
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programming (especially in Python) is advantageous Ability to work independently and analytically as part of a project team Very good knowledge of written and spoken English and German Our Offer: We work