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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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-the-loop simulations, prototype development, and bench-level testing to validate design concepts and control implementations. Review and analyze relevant literature, industry standards, and emerging
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a Curriculum Vitae with a publication list to her/his prospective principal investigator via respective emails. The subject line of the email should be 'Postdoc-HKUST’. We are not accepting
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(fluorescence and Raman), and photon-sparse imaging research. Unit URL https://www.uidaho.edu/sci/physics Position Qualifications Required Experience A solid background in optics, imaging, biological physics, and
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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We
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. Set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in a form of
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a dynamic team that employs cutting-edge models - including iPSC-based cell biology, screening, biochemistry, genomics, imaging, and bioinformatics - to uncover new mechanistic insights into genes
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their research interests, detailed curriculum vitae including a list of your publications and the names of three potential references, should be directed to admin@popi.ubc.ca with “Postdoc Position – PGx
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. fluorescence imaging, molecular biology, cell culture, immunohistochemical assays, circuit manipulations, mouse surgery or behavioral assays) and electrophysiological recording (in vivo extracellular recordings