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• Trainees (postdocs and students): 45 • Research spans eight hubs—Statistical Learning & Data Science; Genomics & Genetics; Imaging; Mobile & Wearable Data Science; Epidemiology; Health Policy; Medical
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
. Proficiency in at least two of the following programming languages: Python, R. Experience in Machine Learning and Computational RNA Biology are desirable. Hands-on experience or understanding (the limitations
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Hagenberg (50%). Job Duties: Independent research in symbolic artificial intelligence, computer algebra, computational logic, or automated reasoning with connection to machine learning Participation in
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
attention to detail and quality; strong computer skills, including Microsoft Office suite (Outlook, Word, Excel, and PowerPoint); Internet proficiency; and knowledge of or ability to learn human resource
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statistical and machine learning methodologies to analyze and predict aspects of the collected data With the guidance of Drs. Stuber and Bruchas, develop experimental methodologies related to two-photon imaging
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. Additional relevant coursework, training, or certifications in protein engineering, machine learning, or computational chemistry are considered merits. Consideration will also be given to how the applicant’s
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willing to explore the links between Algorithm Design and Machine Learning Specific Requirements Physical presence is required (remote work impossible) LanguagesFRENCHLevelGood Research
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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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State University and work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches-including machine learning (ML), hydrologic
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work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches—including machine learning (ML), hydrologic and energy systems