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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
requested or required to support the work of the research project. Minimum Education and Experience Requirements PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics
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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
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. in computer science, medical, health informatics, or other related field. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a
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hypotheses. This is a fantastic opportunity to contribute to world-class science in a leading biotechnology company. Who you are: Candidates must have a PhD in Computational Biology or Computational Science
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for interdisciplinary research and career development. Job candidates must… · Hold a Bachelor’s, Master’s, or PhD in Engineering, Physics, Math or Computer Science, or other Bachelor's plus equivalent relevant
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have a PhD in computer science, mathematics, physics, or related fields, with a passion for programming. A desire to contribute to the development of open-source software within the context of the agreed
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Free probability theory High-dimensional probability, concentration and functional inequalities Mathematical aspects of machine learning and deep neural networks Free Probability aspects of Quantum
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The Laboratory of Cortical Information Processing | Vision to Action at NERF (www.nerf.be ) invites applications for a PhD student to join a Simons Foundation-funded, collaborative research
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The Laboratory of Cortical Information Processing | Vision to Action at NERF ( www.nerf.be ) invites applications for a PhD student to join a Simons Foundation-funded, collaborative research
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neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection. Comparison with known analytic methods and