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field Strong programming skills (Python) and experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with satellite data and geophysical modeling. Interest in physically informed
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, biostatistics, or a related discipline. Expertise in human genomic and transcriptomic studies and a strong interest in neurodegenerative disorders. Programming experience, preferably in Python or R, and
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. K. Marchal and Prof. T. Demeester. The group’ s research focus is on bioinformatics method development by combining advanced AI with biological principles http://www.ugent.be/ea/idlab/en/members
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for its employees as well as its students. YOUR TASKS • At least 70% of your assignment will be spent on academic research at Laboratory Soete (https://www.ugent.be/ea/emsme/en/research/soete
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may refer to https://www.uni.lu/snten/research-groups/sigcom/ . The successful candidate is expected to assume a leading role in advancing research and experimental work focused on software-defined
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data using R/Python. Wet lab experience is beneficial but not essential. You have a strong enthusiasm for fundamental research and a scientific interest in the molecular genetics of immune cell
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(https://redwirespace.com/ ). The group works across the entire spectrum of space robotics research and applied research to conceive and demonstrate future orbital and planetary space robotics paradigms
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sequencing; Has experience with programming, data visualization and data handling in Python, R or related languages; Is proficient in Unix/Linux-based command line and cluster environments; Has
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experience, preferably in Python or R, and experience in the Linux environment Solid publication record in peer-reviewed journals. Proficient in verbal and written English. Excellent teamwork
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strong motivation to work in a multidisciplinary team; Experience with quantum mechanical software packages (VASP, CP2K, …), machine learning potentials (SchNet, NequIP, MACE), and coding (Python, C