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Field
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Programming proficiency in Python and familiarity with ML frameworks (PyTorch, JAX, or similar) Strong analytical and problem-solving skills Good written and verbal communication in English Experience in any
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with experimental research, data analysis, or programming (e.g. MATLAB, Python, or similar) is desirable but not essential. An essential requirement is enthusiasm to study the processes involved in human
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following: Strong programming skills (preferably in Python), with experience in machine learning/AI or software engineering for interactive systems Desirable experience in game development or design using
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geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., MATLAB, Python, C/C++) Advanced knowledge
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 17 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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, or programming. The selected candidate will join the undergraduate teaching team and may teach introductory and advanced courses such as: Programming I (Python) Programming II (C or other low-level languages) Data
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basic understanding of Python (proficiency is not required, but conceptual familiarity is beneficial). What We Offer We provide an inspiring, productive, and collaborative research environment with
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proficient programming skills in one of the following: Python, Matlab, C/C++. Employment is contingent upon the candidate’s ability to obtain the required security clearance. See the last paragraph under
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development experience, and simulation/prototype development experience in MATLAB, Python, and/or OCTAVE and experiences in system level simulation and testing. Focus on problem solving and self-motivated
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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science