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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science
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active participation in collaborative research initiatives. Job Requirements: Candidates must hold a PhD in Bioengineering, Neuroscience, Molecular Biology, or a closely related STEM discipline, with
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upon funding renewal. Minimum Requirements Knowledge equivalent to that which normally would be acquired by completing a four-year college degree program in Biomedical Science or other related science
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systems (including robotics perception/planning stacks). Mentoring: Supervise MS/PhD students; co-author high-impact publications. Service: Support program development, workshops/symposia, and departmental
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written communication skills. BS in Biomedical Science or related field. Minimum of one year of biomedical research experience. Basic computer skills. Equal Employment Opportunity Statement All qualified
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(strongly preferred) Interest in applying to a quantitative PhD program and pursuing an academic career (strongly preferred) We prefer research assistants who want to become professional economists, but we’re
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of Pittsburgh, Swanson School of Engineering, invites applications from accomplished individuals with a PhD or equivalent degree in bioengineering, biomedical engineering, or closely related disciplines for a non
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Report to the UCSF Department of Psychiatry and Behavioral Sciences Vice Chair for Research Build and direct an actively-funded clinical and translational research program Collaborate effectively and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
for individuals that are interested in pursuing a PhD in economics or finance. The chosen candidate will also gain valuable experience in the application of machine learning and Bayesian inference methods
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(hep-ph) , HEP-Theory (hep-th) , Lattice Field Theory , Machine Learning , Particle Physics , Physics-informed machine learning , Quantum Computation , Quantum Information , Quantum Information Science