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Field
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their thesis work in the field of robotics; Strong programming skills in C++ and/or Python, as well as experience in implementing robot learning algorithms; A strong background in control theory, machine
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Strong Python programming skills and familiarity with machine-learning frameworks (e.g., PyTorch), data engineering, SQL and version control Interest in longitudinal clinical data, clinical terminologies
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neutron facilities. Experience with programming languages such as Python is advantageous. Participation in teaching activities (e.g., supervising practical courses or tutorials) may also be possible. While
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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 materials, materials
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(e.g. Unix environment, Python programming or other programming languages) will be given priority. Language requirements The IMPRS-ESM offers an English PhD programme. Applicants must possess a high
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of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in written and spoken German and
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time
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programming skills (e.g. Python) -A conscientious and independent way of working -High motivation and commitment -Negotiation skills in written and spoken German and English We offer: -Full-time position as
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programming skills (e.g. Python) -A conscientious and independent way of working -High motivation and commitment -Negotiation skills in written and spoken German and English What we offer: -Full-time position
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, information theory, statistics, real/functional analysis, statistics. - Excellent programming and software engineering skills at least in Python and in relevant machine learning libraries (at least one of