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Field
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· Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. · PhD
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applicant has a strong background in computational biophysics, as well as data analysis and solid English-language skills. Previous experience in modeling G protein-coupled receptors or membrane proteins is
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PhD in a related field, such as biophysics, physiology, biochemistry, molecular and cellular biology. Preferred Qualifications At least one first-author publication. Experience in single channel/patch
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(DoD) . Qualifications The qualified candidate will be completing (by October 31, 2026) or have an earned doctoral degree in Biochemistry, Biophysics, Cellular & Molecular Biology, Structural Biology or
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Publish, present at international meetings, and mentor students and interns Minimum Education and/or Training: PhD in structural biology, cell biology, virology, biochemistry, biophysics or a related field
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, applied mathematics, and biophysics. Applications completed by November 2nd 2026 will receive first consideration. The position has a start date of May 1st (or earlier). For further inquiry on the positions
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disease areas. Preference will be given to applicants with prior training in Computer Science, Computational Biology, Computational Chemistry, and Computational Biophysics. Extensive training opportunities
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Research Engineer or Postdoctoral Researcher (m/f/d) in the field of Engineering Physics or Material
range of topics, including nonlinear optics, quantum optics, nanophotonics, photonic crystal fibres, optomechanics, quantum technologies, biophysics, and links between physics and medicine. The Max Planck
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enable new discoveries in life sciences and bio-technology relying on structural biology methods. The ideal candidate would have a background and an interest in Biophysics, Biochemistry, Artificial
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Molecular Physiology is an open, collaborative, and stimulating research environment with broad expertise including cellular biophysics, specialized imaging, computational modeling, aging, and proteomics