893 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Nature Careers
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sciences, computer science, mathematics, physics, engineering, statistics, or related quantitative fields Strong interest in applying computational methods to biomedical or health-related problems
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candidates with a degree in physics, chemistry or materials science. For Topic 1-3, candidates must have documented skills in atomic-resolution electron microscopy, microfabricated devices, 2D materials
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-EM sample preparation, data collection, and high-resolution structure determination • Process and refine complex cryo-EM datasets using strong computational skills (RELION, cryoSPARC, etc.) • Conduct
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analyzing developmental-oncogenic signaling pathways using a combination of experimental and computational approaches. Within this project, we are creating perturbation-based genetic maps at the level of
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at the interface of computational chemistry, quantum physics, and nanoelectronics; opportunity to co-create breakthrough solutions in the fields of memcomputing and molecular quantum technologies; collaboration with
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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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Associate or Full Professor on the Tenure-Line, Department of Neuropharmacology or Neurophysiology -
of synaptic and circuit plasticity. Faculty in the department recruit graduate students from both the Ph.D. Program in Pharmacology & Physiology and Georgetown’s Interdisciplinary Program in Neuroscience
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includes: A high-volume clinical program with state-of-the-art radiotherapy platforms 25 physician-scientists, 14 residents, and a collaborative clinical faculty A Division of Medical Physics and Engineering
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of the biological, chemical, or physical sciences and completion of a medical laboratory or histology training program Master's degree is strongly preferred. PhD preferred. Minimum Experience: 8+ years of relevant
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) 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 of teaching and