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Field
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, problem-solving and project management skills. Candidates with strong quantitative skills, including familiarity with python and astronomy are desired for this project. Must be eligible to enrol in PhD
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developing scientific software (using any of these languages/libraries: Python, Julia, C++, C, Fortran, Matlab, Fenics/FeniX, MFem, deal.II, libMesh, PETSc, Trilinos, Pytorch, TensorFlow, Jax, Keras, Pandas
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. Knowledge of Python programming language, including experience in developing scripts and tools for data processing and analysis. Demonstrated ability to meet deadlines and deliverables. Willingness and
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essential. Excellent organisation and problem solving skills are expected and experience in data wrangling, processing and visualisation using R or Python would be advantageous but not essential
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with Python or C. Solid understanding of linear algebra, calculus, and probability theory. Strong background in machine learning and deep learning is highly preferred. The ideal candidate will have
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production, agriculture broadly, and/or smart technologies is desirable. • Experience in modelling biological or agricultural systems, with strong programming skills (R, Python, or Matlab
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Engineering or a related discipline. Experiences in Machine Learning, Deep Learning and Artificial Intelligence. Strong programming skills (Python) Good knowledge of AI frameworks like TensorFlow, PyTorch
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teaching activities and/or supervise Master's students Requirements: A Master's degree (or equivalent) in Computer Science, Statistics, Mathematics, or related fields Strong programming skills (Python, Java
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behavior planning, control) -Very good programming skills (e.g. Python) -A conscientious and independent way of working -High motivation and commitment -Negotiation skills in written and spoken German and
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, control) -Very good programming skills (e.g. Python) -A conscientious and independent way of working -High motivation and commitment -Negotiation skills in written and spoken German and English What we