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one or more of the following areas: Bioinformatics, Gene-expression analysis, Single-cell RNA-sequencing, and Spatial Transcriptomics. It is most important that you possess bioinformatics/computational
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stem cells Develop computational approaches for integrating metabolomics, transcriptomics, and genomics datasets across development and disease Candidates must hold a Ph.D. and/or M.D. degree with a
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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of heart disease Your studies will take advantage of in vitro and in vivo pre-clinical models, including hiPSC-derived systems The postdoctoral project will combine experimental (wet-lab) and computational
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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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have a Ph.D. in biology or computational biology. Special Skills, Knowledge, and Abilities: Experience in cell culture, epigenomics/transcriptomics, Western blotting, flow cytometry, and/or cell culture
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We are pleased to announce a postdoctoral position focusing on developing advanced computational techniques to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from
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for the programme-oriented funding that is allocated to Helmholtz research. Within the six research fields, Helmholtz scientists cooperate with each other and with external partners – working across disciplinary
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
; a top-ranked scientific environment; and superb benefits, mentoring, and professional development. Positions are available in diverse research areas, including epidemiology, genetics, computational