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to study hypotheses Validate models via targeted simulation, sensitivity analysis and exploration Apply methods to problems in geosciences, in particular bio-/geochemical cycles Your qualifications: A
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mathematics, nanoscience and the hospital. In addition to NMR-based techniques and mass spectroscopy, you will use a suite of colloidal and nanoscience techniques to characterize the particles. Who we
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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Science, Physics, Applied Mathematics, Statistics, Computational Biology, Bioinformatics, Systems Biology, or related fields. Proficiency in at least one programming language (e.g., Python, Julia, R, C/C
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on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science. Experience and skills Required experience and skills: Extensive
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) analysis Mathematical modelling Microbiology Molecular biology We approach science with the view of physics, aiming to identify principles behind complex systems. We collaborate closely with engineers
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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Temporary contract | 36 months | Belval Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods