253 parallel-and-distributed-computing-phd-"Multiple" Postdoctoral positions at Nature Careers
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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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molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and multiple microscopy techniques. The hired postdoctoral researcher will receive compensation based
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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, single-cell transcriptomics, proteomics, metabolomics, and network reconstruction. Former trainees of the Chi lab have been principal investigators in multiple academic institutions. Please also see the
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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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contact both, and Your profile PhD in Information Systems, Computer/Data Science, Software Engineering, Applied Mathematics, or a related field Experience in publishing high-quality research, as
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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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given to applicants who have received their Ph.D. degrees in behavioral neuroscience or related fields within the last 3 years and have experience in computational neuroscience and data mining using
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, ultimately, will lead a multidisciplinary team focused on the study of rhabdomyosarcoma. Multiple projects are available, focused on the reciprocal interaction between tumor cells and the extracellular matrix