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silico approaches. This may include mathematical modeling of biological systems, machine learning and artificial intelligence methods, and the development of innovative algorithms and software pipelines
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benefits, and a wide array of family- friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Essential Physical Job Functions: Certain jobs at Duke University
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: Dep.of Ingegneria Duration: 12 months Where to apply Website http://www.unife.it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility
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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
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for 10-12 weeks. Responsibilities: Collect and organize different datasets. Derive summary statistics of those datasets. Help with the implementation of machine learning models. Conduct literature
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of the Collaborative Care Model. Job Responsibilities Provides evidence-based behavioral health interventions and psychoeducation. Assesses and systematically collects and tracks data in a patient registry related to
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opportunity to shape the future of medicine. Job Description Chirag Patel's group is seeking a Data Scientist with a focus on engineering and/or, mulit-omic integration analytics, machine learning, and AI
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Scotland Innovation Hub to provide a secure cloud computing platform for Federated Learning and Machine Learning model development, and clinical researchers from NHS Greater Glasgow and Clyde. The successful
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or equivalent Skills/Qualifications Technical Skills: Programming and integration of machine learning algorithms, reinforcement learning and symbolic planning in real robotic platforms. User modeling techniques
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Howard Hughes Medical Institute - Janelia Research Campus | Virginia Beach, Virginia | United States | 4 days ago
be part of a project at the intersection of protein engineering, evolution, and machine learning, which is part of HHMI’s AI for Science Initiative (ai.hhmi.org ). Our goal is to integrate