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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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related subject/area) and have technical skills in computer programming and basic knowledge of mathematical models for systems and/or synthetic biology. LanguagesENGLISHLevelGood Additional Information
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estimation to begin in Spring/Summer 2026. The successful applicant will develop and implement data-driven tools, underpinned by scientific machine learning and reduced-order modeling, for ocean state
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model or machine-learning-enabled assets at a company or University). Basic understanding of early-stage technology development. Knowledge of basic principles of intellectual property and licensing
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transfer to four-year colleges, typically in CUNY, to complete their baccalaureate degrees. Graduates of career programs such as Nursing, Computer Technology, and Veterinary Technology enter the workforce
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regression, causal inference methods, longitudinal modeling, and hierarchical modeling techniques. Implement machine learning and artificial intelligence approaches where appropriate. Interpret findings in
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student in areas related to Computer Science. Basic experience in health data analysis. Python programming. Knowledge of machine models and deep learning. Intermediate English level. Specific Requirements
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy
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' performance will be assessed according to the following weights and criteria: - Criterion 1 - Knowledge in the areas of Bioinformatics, Artificial Intelligence and Machine Learning - Criterion 2 – Motivation
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, experienced individual who can drive projects forward to uncover novel biology. The job will require extensive cell culture of inducible pluripotent stem cells, development of transgenic mouse models