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Field
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Distributed Fibre Optic Sensing - Solid analytical and problem-solving skills - Programming experience (e.g., Python, MATLAB) and experience operating on large datasets - Ability to work both independently
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, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn
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proficiency in programming (preferably Python) are essential. Prior exposure to one or more of the following: machine learning, information security, modern crypto systems will be an advantage
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editing Single-cell sequencing technologies or immunopeptidomics Transcriptomic or genomic data analysis (R/Python) We offer you A fully funded PhD position within an ambitious and collaborative
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related field Strong programming skills (R and Python required; PyTorch/JAX/TensorFlow preferred) Demonstrated track record of first-author publication(s) Preferred: Experience with single-cell or
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applications (e.g., training, fine-tuning, deploying models). Strong background in Python and experience with machine learning frameworks such as PyTorch or TensorFlow. Prior experience integrating LLMs into
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-based plant research Interest in linking physiological processes with imaging and sensor-derived plant traits Experience in quantitative data analysis and statistics Experience with R, Python or
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, or another highly quantitative discipline * A strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling * Experience developing research code in Python
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, PowerPoint, Teams). You have knowledge of modelling and experience using R or Python. You have a good command of Dutch and are also able to communicate fluently in English, French is a plus. Reporting
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Biology, Biostatistics, Medical Informatics, Mathematics, Physics, or a related discipline Excellent programming skills in Python and/or R Strong expertise in machine learning, deep learning and