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A data science postdoctoral research associate position is available in the lab of Dr. Christian Meyer Ideal candidates will have: • A Ph.D. in bioinformatics, computational biology, mathematics
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outstanding postdoctoral researchers in the fields of Physics, Chemistry, Mathematics, Computer Science, Earth Science and the Life Sciences. This collaborative program offers a comprehensive four-year position
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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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(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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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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, materials science, applied mathematics, or a closely related discipline. The project focuses on failure and fracture phenomena. Knowledge of condensed matter or statistical physics, as well as modelling
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have experience in mathematical modelling or simulations, preferably of biological systems. We encourage candidates from diverse departments, such as physics, computer science, applied mathematics
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, 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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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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PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs, transformer-based