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software as python packages Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data
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technologyEducation LevelPhD or equivalent Skills/Qualifications Must-haves: Education: Master’s degree in Telecommunications, Computer Science, AI, or a related engineering field. Technical Skills: Strong Python
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experimental fluid mechanics Enthusiasm, creativity, and a can-do attitude Programming skills (Ideally PALM-4U, Python / MATLAB or similar) Excellent communication skills in English (both spoken and written) You
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communications, fundamental knowledge on computing architectures, and advanced programming skills (e.g., Python, C++, Matlab/Octave). Experience with simulation, emulation, and modelling tools for signal
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computational methods (e.g., NLP, text-as-data, Python/R) is highly desirable. Interest in serious games, interactive tools, or participatory research methods is an advantage. A research-oriented attitude
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programming skills (C++ or Python) and experience with numerical modeling (for instance, Finite Element Analysis or Computational Fluid Dynamics); A strong interest in—and willingness to learn and perform
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example LIF-based measurements in the infrared spectral region experience with programming for data analysis in Python and experimental control in LabVIEW ability to work both independently and
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 19 days ago
3D vision topics such as 3D mesh models, statistical shape modeling and articulated pose estimation Solid ML/AI foundation Strong programming skills in Python (CUDA is a plus) Hands-on experience with
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computational approaches, and the art of data visualization in complex but meaningful ways. The student will become an expert in using programming languages like Python and R. We work closely with highly
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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