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Code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of new methods and perform numerical simulations Pose appropriate initial and boundary conditions for
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(e.g., Python, C++), and familiarity with ROS or similar frameworks. • Experience with simulation tools like Isaac and sim-to-real transfer. • Demonstrated interest and enthusiasm for robotics and
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evidenced in relevant publication(s) Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant
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Programming skills (e.g., Python, MatLab, R) Publications related to the field of the PhD research topic Language requirement: Good oral and written communication skills in English English requirements
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, control sys-tems, perception, control engineering, or autonomous systems Familiarity with ROS (Robot Operating System) and programming languages like Python or C++ Experience working with robots or other
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journal article(s) / GitHub). Excellent communication skills in English, both oral and written. Documented experience with scientific programming (e.g., Python, Matlab, R). You must meet the requirements
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experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality
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experience with spatiotemporal modelling Documented experience with Geographic Information Systems Documented experience with programming in either Python or R Documented experience with newly established
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the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant publication(s) The following qualifications will count in the assessment of the applicants
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, machine learning, database systems, or data mining. Experience with different generative AI approaches such as transformer, or diffusion models. Very good programming skills in either Python, Julia, or R