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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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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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and implications of data anonymization, Investigating the impacts of various anonymization techniques from a business, legal and regulatory standpoint Designing and evaluating a reference process model
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are looking for: A motivated candidate with a strong academic track record and a degree in Materials engineering, Physics engineering, Materials chemistry, or a related field in Science and Engineering. A
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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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profile Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Physics, or related fields. Experience: The ideal candidate should have some knowledge and experience in a
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, Mathematics, Physics, Bioinformatics, Computational Biology/Neuroscience/Chemistry, Bioengineering, Biotechnology or other related fields Demonstrate academic excellence, typically reflected by graduation with
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optimize virtual prototypes before building the final physical SAM. While INRIA Lille leads the control design, both teams will collaborate on use-case scenarios and real-world demonstrations to assess
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focuses on critical information infrastructures and cyber-physical systems with the aim to protect our most sensitive and valuable assets. We look into systems in the small and how we can prepare them