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” for formal requirements regarding the master’s degree. Good programming skills in Python. Previous experience with neural approaches and particularly generative language models is an advantage. Experience
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proficiency in programming (e.g., Python, PyTorch/JAX, or similar) Strong interest in method development Fluent oral and written communication skills in English Candidates without a master’s degree have until
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(e.g., Python, R, SQL) is an advantage, experience with big data, remote sensing, modelling, or automation of analytical processes is welcome. LanguagesENGLISHLevelGood Research FieldGeographyYears
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. Experience in programming (in particular, Python) and an interest in machine learning, data analysis, or scientific computing are expected. Prior experience with machine learning or optimization methods is
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work received above-average grades, awards, or led to scientific publications. Proficiency in Python is required. Experience with additional programming languages, such as MATLAB or C/C++, is considered
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proficiency in Python. Knowledge in Statistical physics and Network science, and interest in complex networks and interdisciplinary research are a plus. The position is for 3 years, and will be located
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techniques e.g. laser and optical instrumentation; computational/numerical modelling programming skills e.g. Python, C++. Eligibility Open to both UK and International applicants, including EU applicants. How
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Experience in wet lab molecular biological techniques. Programming experience demonstrated with good programming practice (maintaining code repositories, version control, R, Python). Experience in working with
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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic