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transmitted to the larger organization. Qualifications § A PhD in Electrical and Computer Engineering, Applied Physics, or a related field § >3 years experience with Lumerical and Comsol electromagnetic
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-class biologists in the Harvard medical area. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field. Superb
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The FWO supports fundamental scientific research, stimulates international cooperation and promotes equal opportunity. The special PhD fellowship enables persons not employed within scientific
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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demonstrate: A PhD in a relevant scientific discipline, with experience in molecular biology or translational research laboratory settings. A strong research track record, including high-quality publications
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 hour ago
biological experiments. Supervising and/or co-supervising students working on single-cell and spatial transcriptomics. The Person We are seeking a highly motivated postdoctoral researcher with: A PhD in
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experience contribute to ongoing translational research program related to the application of statistical and machine learning methods in reproductive and perinatal medicine using both clinical quality
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or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working
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agents, including uncertainty quantification at the agent’s level. The project will bring together ideas from Statistics, Probability, Statistical Machine Learning, Statistics and Game Theory and is an
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time role, 0.1FTE. The activities of this role will support development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning