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Field
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, developmental or reproductive biology, metabolism, biotechnology, bioengineering, computational biology, bioinformatics, quantitative reasoning, or related areas. Successful candidates will also contribute
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, and Smart Grid •Biomedical Electronics, Biomedical Imaging, Nano-Biotechnology, Biophotonics, Bioinformatics, Medical Informatics, Neuroengineering, Computational Bioengineering, Biomedical Sensors
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: IT137-26- 379 I - Legal admission requirements I.I - Grant Recipients: Holders of a doctoral degree in the scientific area of Health sciences; Bioengineering; Pharmaceutical Sciences or similar areas
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who: Holds (or will soon obtain) a Master's degree in Biotechnology, Biomedical Sciences, Bioengineering, Molecular Biology, Biochemistry, Pharmaceutical Sciences, or a related field. Has a strong
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Essential PhD in Bioengineering, Chemical Engineering, Materials Science, Nanotechnology, Analytical Chemistry, or related fields. Strong publication record in biosensors, nanomaterials, Raman spectroscopy
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Mechanobiology, Systems, Synthetic and Molecular Bioengineering, Women's Health, Tissue Engineering and Regenerative Medicine, Neural Engineering, Biomaterials and Nanotechnology, Biophotonics and Biomedical
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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-analysis workflows. Experience using ImageJ/Fiji, QuPath, CellProfiler, Prism, Excel, R, Python, or microscope image-analysis software. Bioengineering experience, including assay design, co-culture system
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Physics, Imaging Science, Physics, Chemistry, Chemical Engineering, Bioengineering, Neuroscience, Cancer Biology, or a closely related discipline. This position requires a formal degree in the cited
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Details Title Postdoctoral Fellow - Neural Engineering at Harvard BIONICs Lab School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position