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Field
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About the Role We are looking for a Postdoctoral Research Assistant to work with Dr Chema Martin on a Human Frontiers Science Program Research Grant project entitled “Evolutionary Biophysics
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team to unravel the mysteries of membrane ion and lipid transport and their roles in various diseases. Minimum Requirements: PhD in biochemistry, biophysics or cell biology Preferred Qualifications
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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background in chemical and biological engineering, bio-engineering, molecular biology, microbiology, biochemistry, biophysics, computational modeling or related fields. Experience in metabolic engineering
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neuromodulation The ideal candidate should have a PhD in Physics, Biophysics, Biomedical Engineering, Computer Science, Neuroscience or related fields. Prior research experience (publications and programming skills
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degree in Biological Sciences, Neuroscience, Pharmacology or Physiology and Biophysics required; Requires successful completion of a background check. Selected candidate may be requested to complete a pre
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natural products. Strong track record of independent publications. About the Department BMBB: The department of Biochemistry, Molecular Biology and Biophysics is committed to understanding the molecular
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to learn new techniques and knowledge in imaging instrumentation and computational biophysics. Demonstrated ability to work in a team with interdisciplinary members, and to work independently with minimal
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: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and
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huge opportunity as an untapped resource. You will contribute to an interdisciplinary team comprising experts in structural biology, biophysics, microbiology, biopolymer science, downstream processing