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profile. To apply for this vacancy please click ‘Apply Now’ (link) to complete your details. Please contact Professor Zoe Trodd ([email protected] ) if you have further questions about this role
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English PhD Research Fellow in computer science/AI for energy informatics Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a PhD from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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(CDF) are for applicants who hold a doctoral degree from a non-biological discipline (e.g. physics, chemistry, mathematics, engineering or computer sciences) and who have not worked in the life sciences
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outstanding opportunities for continued scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial
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(bioinformatics, genomics, …) and research experience in the field of cancer genomics, although we welcome applications from candidates with diverse educational backgrounds, including computational biology, physics
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Institute, please click here . Qualifications Education Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics
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. Proficiency in using PyTorch and other machine learning libraries for developing and implementing machine learning models is essential. Ability to prepare comprehensive written reports, including the use
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with the teaching and training of graduate students University at Buffalo is an affirmative action/equal opportunity employer and, in keeping with our commitment, welcomes all to apply including veterans
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 14 hours ago
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