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workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors. Together
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experience with applications of machine learning (especially Explainable Artificial Intelligence - XAI) is required. All candidates should provide a detailed CV, research statement and contact information
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an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors
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an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors
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intereactions in the broad field of glycoprotein-based therapeutic design. Strong background and experience with applications of machine learning (especially Explainable Artificial Intelligence – XAI) is required
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science, climate science, and artificial intelligence. Examples of relevant research topics/past experience include: modeling of complex socio-technical systems; analysis of large-scale spatiotemporal data
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for Artificial Intelligence and Fundamental Interactions. This position is for one year, renewable for up to two additional years contingent on satisfactory research progress and continued availability of funding
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-edge research in the theoretical and applied aspects of artificial intelligence and machine learning (AI/ML). The successful candidate will join Prof. Francesco Restuccia’s research team in Boston
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Teaching and learning in the age of artificial intelligence Northeastern University’s dynamic Writing Program houses a mix of full-time teaching professors, graduate students, part-time lecturers, and tenure