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in the institute Analysis and summarizing experimental results Presentation of experimental discoveries in scientific journals and international conferences Working in collaboration with PhD students
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, computational genomics, or a related field. Candidates with a PhD in mathematics, physics, and other related areas with strong quantitative skills who are interested in applying their quantitative skills
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room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied mathematics, or a related area. The
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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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(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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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
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scientific partners Publication of results in form of scientific papers and presentations at international conferences About you: Scientific university education in Mathematics with PhD or similar Skills and
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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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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