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standardized questionnaires, discrete choice experiments, and/or vignette studies • Ideally, knowledge of programming online questionnaires (preferably with SoSci Survey) • Ideally, knowledge of digital
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with foreign partner organisations. The scholarships are funded by the Federal Ministry of Education and Research. Who can apply? The programme is aimed at university teachers and experienced academics
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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in finite element modeling with Ansys Mechanical, APDL, and Discovery. You possess very good programming skills in Python. You work independently and in a structured manner. You are reliable, flexible
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 12 hours ago
language of the doctoral programme is English. All courses and seminars are held in English. The doctoral thesis can be written and defended in English or German. Full-time / part-time full-time Programme
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(e.g., PLC programming or HMI design), experience in working with MATLAB Simulink, and are proficient in the use of Python or C# (.NET). Do you also have some basic knowledge of classic control
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essential. Good programming skills in at least one programming language (e.g., Python). Experience with machine learning, LLMs, or HCI/user study methodologies will be a plus. Strong interest in acquiring and
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or comparable qualifications Extensive programming experience, good basic knowledge and experience in front-end development and web frameworks Experience in analysing software and technical problems Strong
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(MHH). The project is funded by the Wissenschaftsräume programme of the state of Lower Saxony and the Volkswagen Foundation. Your tasks will include: Design the physical intervention component of the app
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are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C