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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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Schizosaccharomyces pombe as a model organism. Representative publications include: Nature (2011), PMID: 21725325; Molecular Cell (2016), PMID: 27666591; Cell Reports (2016), PMID: 26832414; PNAS (2021), PMID
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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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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longevity. Position Responsibilities: Measure molecular hallmarks of aging in experimental model systems of iterative T cell stimulation. Draft manuscripts. Present work at internal and external meetings
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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modelling of diffuse scattering using X-rays, electrons and neutrons to establish local structure and correlated disorder in advanced materials and including ultrafast femtosecond science. The project
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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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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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explored. These strategies will be evaluated on cellular and mouse disease models, in order to determine whether APP editing can reduce pathogenic effects caused by amyloid-beta. In addition to gene editing