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early detection is a need that needs to be addressed using advanced sensors. The candidate will apply machine learning and IA methods to anticipate the evolution of the discharges. This project aims
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to evaluate pancreatic cancer pathology using human tissue specimens Assemble analysis pipelines using machine learning to process tissue data reproducibly and at scale Conduct analyses using programming
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and methods for advancing the research effort Design and carry out computer experiments on deep learning and related robotic simulations Collaborate with other engineers to create prototypes of embodied
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., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by
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About Farmingdale State College: Farmingdale State College is a recognized leader in applied learning. With over10,000 students, FSC is the State University of New York's largest college
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approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational
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team member in the CBSC focused on ligand discovery, joining a team of dedicated computational researchers with diverse expertise ranging from structural bioinformatics to machine learning and AI. Your
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, and streaming media production. Ability to work in consultation regarding online instructional materials. Ability to learn new procedures and operation of technology. Email to a Friend https
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are currently recruiting candidates with expertise in data science, machine learning, computational or systems biology, and/or bioinformatics, with interest in applying computational methods in the context of all
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performance guarantees. Experience with motion planning, stabilization, and obstacle avoidance algorithms in dynamic or uncertain environments. Familiarity with learning-based methods (e.g., machine learning