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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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manuscripts and posters, presents at national and international scientific conferences and other scientific forums. QUALIFICATIONS A PhD degree in Bioengineering, Chemical Engineering, Pharmaceutical Sciences
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of specific proteins in a cancer cell’s nucleus with SINE technology. Our primary focus is on developing novel drugs which we hope will help treat patients with certain blood cancers or solid tumor malignancies
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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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Ph.D. in any aspects of climate and/or sustainability, with either by a PhD degree in any aspect of climate and/or sustainability sciences and engineering (e.g., to coincide with one of the five themes
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a recent PhD, MD, or equivalent with a relevant background, e.g., Chemistry, Medicinal Chemistry, Biochemistry, Biology, Neuroscience, Pharmacology, and related fields. Candidates with a successful
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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new applications. Qualifications: Must have a PhD or equivalent in engineering or mathematics. Must be able to undertake full-time research and scholarship. Must be able to work in collaborative multi