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A 2-year full-time fellowship within an ongoing research project, where molecular, structural and cell biology approaches are being used to understand a specific molecular interaction and its
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to interact, serve as peer reviewers and advisors to one another, and provide feedback to the faculty regarding the quality and direction of the fellowship training program. Minimum Qualifications PhD in Social
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The Department of Ecology and Environmental Science at Umeå University, Sweden, is now inviting applicants for a two-year Postdoctoral Scholarship focused on multiscale (photo)physiology in reef
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of synthetic cells with various social relationships. Requirements: A Master of Science degree (and no previous PhD degree) in Chemistry, biochemistry or related fields Advanced level training in Science and
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of Medicine. Position: You will join an established NIH funded laboratory that is focused on developing innovative proteomics approaches and using these to new methods to address basic science and huma health
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Department of Biology, Chemistry, Pharmacy - Institute of Chemistry and Biochemistry AG Absmeier Research assistant (Praedoc) (m/f/d) with 65%-part-time job limited to 30.06.2028 salary grade
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Title: Post-Doctoral Fellow in Chemistry and Chemical Biology School: Faculty of Arts and Sciences Department/Area: Chemistry and Chemical Biology, Balskus Lab Position Description: We are seeking a
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Research assistant (Postdoc) (m/f/d) - Department of Biology, Chemistry, Pharmacy - Institute of Bio
Department of Biology, Chemistry, Pharmacy - Institute of Biology Plant Physiology Research assistant (Postdoc) (m/f/d) full-time-job limited for up to 5 years salary group (Entgeltgruppe) 13 TV-L
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methods to build a classifier based on mRNA and WES profiles Your profile: PhD / PostDoc applicants should hold a MSc/PhD in computer science, physics, mathematics or a related discipline strong Knowledge
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Postdoctoral positions in biology are available in the Zhi Tan laboratory at Baylor College of Medicine (Houston, TX), an interdisciplinary group using deep learning, computational chemistry