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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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(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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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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their Ph.D. in a related field (e.g. Bioengineering and other Engineering fields, Biology, Physics, Chemistry) and have no more than two years' post PhD experience prior to the anticipated start date
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analysis with practically motivated case studies, offering a strong foundation for researchers interested in advancing the mathematical understanding of geometric deep learning. Your Qualifications PhD
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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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groups and industrial actors. The applicant must have completed a PhD degree in a relevant field at the time of employment. The applicant is further expected to have experience with solution-processible
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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive
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for astrobiology and astrochemistry. Your profile A qualified candidate will have a PhD in electrical engineering, physics, or a related field, as well as expertise in one or more of the following: nanofabrication
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, applying membrane filtration, drying, rehydration, salt addition, pH adjustment, and temperature. You will contribute to determining physicochemical properties of casein micelles, ultimately affecting