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Magalhaes to support a research project aiming to develop machine learning methods for drug repurposing in ageing and frailty disease. We aim to employ a machine learning approach to predict, among existing
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control under high inverter-based resources (IBRs). • Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation, control, and cybersecurity
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immunology through innovative spatial analysis of the tumor microenvironment. Requirements Successful candidates will have a PhD, MD, or equivalent degree in immunology, cancer biology, pathology, or a related
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for inpatient consultation/liaison service are also available. The Pediatric Neuropsychology track focuses on psychological assessment of learning and attention disorders and neuropsychological testing with youth
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advising MS, MPS, and PhD level graduate students. Collaborative research with other faculty in SIPS, and more broadly across Cornell University and beyond, is expected. A disciplinary Education Research
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in the same fields with five (5) years of experience, OR PhD in the same fields with two (2) years of experien. Willingness to occasionally travel to customer sites, conferences, and offsite meetings
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machine learning and real-time control fabricate robust instrumentation or photonic components for use at 8m-class and future ELT-class observatories lead instrument development projects, including
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models. Your tasks: Research, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in
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most data sources are in German. Candidates should work independently and be willing to familiarize themselves with new topics and methods, including machine learning and the handling of large data sets