336 fully-funded-phd-program-computer-science-eth Postdoctoral positions at Nature Careers
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by rigorous training on project management skills. They will have access to state-of-the-art computing for high-throughput data analysis and molecular profiling technology. Our lab has a great track
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postdoctoral experience, in computational/mathematical biology (this includes PhD students who are near completion but have yet to submit). However, talented candidates from a wide range of disciplines
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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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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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-640; Gastroenterology 2021 Jul 8:S0016-5085(21)03159-0; Nature Reviews Cancer 2023 Mar 27:1-20, Nature Cell Biology, 2024 May;26(5):840). Our program is well-funded by NCI, with multiple R01 grants and
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The Khammash Lab at ETH Zurich is seeking a motivated and skilled postdoctoral researcher to join our interdisciplinary team working at the interface of synthetic biology, control engineering, and
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We are seeking a highly motivated and creative candidate for a fully supported postdoctoral fellowship to develop immune-based therapies. Specifically, the research is aimed to develop cell-based
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the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will equip the next
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the