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Field
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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The Department of Molecular Biology at Princeton University currently has research positions available at the postdoctoral and more senior research levels in the areas of biochemistry, biophysics
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would like to work in collaboration between biophysics, structural biology and biochemistry, then join us. Our labs (Pombo-Garcia & Wu) are interested in molecular organisation of cell interfaces in
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candidate will work in close coordination with collaborators across these disciplines and will be embedded in an environment that values computational-experimental integration and high-impact research
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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging
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Tsinghua University, Biophysics Group Position ID: Tsinghua -Biophysics Group -POSTDOCBIOPHYSICS [#29005] Position Title: Position Type: Postdoctoral Position Location: Beijing, Beijing 100087
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join a highly collaborative laboratory focused on the development and application of MRI technology and analysis software in the Department of Biophysics, with access to state-of-the-art instrumentation
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computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying statistical and machine learning to real life problems, using a
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(e.g., Relion and cryoSPARC) are provided by USC's Center for Advanced Research Computing. Qualifications: Candidates must hold a Ph.D. in Chemistry, Biochemistry, Biophysics, Structural Biology