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Field
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interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering
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, and Professor Pierre Youssef. We are particularly interested in candidates with a strong mathematical background and expertise in one or more of the following areas: High-dimensional probability and
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computational biology, biochemistry, structural biology, bioinformatics, statistics, machine learning, computer science, mathematics, or a related discipline. have demonstrate experience in Python programming and
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statistics, applied mathematics, and/or computational science. This position is funded by EPSRC, the Met Office, and Lancaster University. Lancaster University is a research-intensive university, ranked in
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computer science, mathematics, physics, statistics, network science, or a related quantitative discipline. Research experience in at least one of the following: topological data analysis; computational topology
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research fellowship openings, in all area of theoretical and applied mathematics, including statistics. We invite new or recent Ph.D.’s with outstanding research potential to apply for these openings
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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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, Statistics, Mathematics, or related fields. Proficiency in R and/or Python programming. Strong written and oral communication skills, demonstrated by peer-reviewed publications and conference presentations
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science, cybersecurity, electrical and computer engineering, mathematics, physics, or a closely related field by the start date. Because this position is centered on quantum-era cybersecurity, we are particularly
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); strong communication skills; basic knowledge in using statistical software such as SPSS and R; be self-motivated, responsible and able to work independently and as a team. Those with experience in working