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Field
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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investigation of reaction mechanisms are advantageous Experience in programming languages like python is advantageous Strong communication skills in both English and German (above-average communication skills in
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to the Arctic Ocean is a requirement. Experience with statistical data analyses including knowledge of R and/or python is required. Experience in biodiversity and/or ecological studies. Proficient in both written
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(R, Python, MATLAB, or similar). Willingness to conduct fieldwork in Arctic conditions. Proficient in both written and oral English. You will be offered the opportunity to participate in digital
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relevant discipline in engineering, science, or mathematics. Experience with modelling, simulation, optimisation, or programming (e.g. Python, MATLAB, C++, or similar) would be advantageous, though not
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incidents effectively. English proficiency at a B2 level. Experience in writing scientific articles. Experience in software development using Python. Experience with Geant4. LanguagesENGLISHLevelExcellent
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education at the doctoral school is suspended). Additional desired qualifications include: Good programming skills (e.g., Python, Fortran, C, or C++); Familiarity with star cluster dynamics, stellar or binary
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vision is also highly appreciated. The candidate must also have strong programming skills (Python, C++) and experience with ROS / MC_RTC (preferred). About MAVRICS The PhD is a part of the activities
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Basic data analysis and processing skills Statistical analysis knowledge and expertise MS Excel, MS Access, SQL, SAS Python, web-scraping and NLP Any programming experience is a plus Willingness to learn
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: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion