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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
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solid Python skills. Interest in computer vision, representation learning, concept drift, Statistical Process Monitoring (SPC/SPM), active learning/DOE, MLOps. Curiosity, independence, and excellent
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testing and analysis. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv The position holder will be required to perform the following tasks: Carrying out research in
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or Python. Proven publication and report writing skills. Knowledge of data handling or management. Sea-going experience. ADDITIONAL INFORMATION For more information concerning this vacancy, please contact Jan
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economics, market design, and policy-relevant research. Experience with numerical, computational, or simulation-based methods (e.g. Matlab, Python, R, or similar); experience with statistical software is an
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includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: An MSc (or equivalent) in structural biology, cell biology, biophysics, bioengineering
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such as XBeach, SWASH, Watlab or CFD modeling is an asset Programming skills (Python, C++, MATLAB, or Fortran) are required Excellent analytical and problem-solving abilities along with a good team-spirit
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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biomedical or engineering sciences and a strong affinity with movement and rehabilitation sciences. You are proficient in programming in Matlab and, if possible, Python. You have experience in using 3D motion