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Field
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applications for a PhD Research Fellow position in fairness in artificial intelligence, available at the Department of Informatics, in the Scientific Computing and Machine Learning (SCML) research group
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of the scientific community. In addition, you have: A completed PhD degree with expertise in computational sciences, life sciences, or a related discipline, ideally with a strong foundation in optics and bioimaging
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the frontiers of science and work with supervisors and colleagues that are among the best in the world? The ISTA-Fellow program at the Institute of Science and Technology Austria offers fully funded
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independence and resources. The KIC Fellows program is designed to attract the best and brightest experimental researchers in nanoscale science to Cornell. Selected candidates will have access
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to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
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Fellows. It pays like a strong postdoc. No background in AI is required; we weigh the ability to learn above experience with any method. Top-performing Fellows will be offered permanent research positions
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the following skills and experience: Essential criteria PhD awarded in PhD in Computational biology or a related discipline Extensive experience analysing ribosome profiling, RNA-proximity ligation and
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programmatic opportunities for professional development, skill development, and networking with a supportive cohort of peers Robust mentoring program to support career development, featuring mentoring committees
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of science and work with supervisors and colleagues that are among the best in the world? The ISTA-Fellow program at the Institute of Science and Technology Austria offers fully funded (two-year) postdoctoral
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computational methodologies alongside experimentalists developing new wet lab methods and to produce relevant publications. The successful candidate should have extensive computational RNA biology experience