229 computer-science-programming-languages "INSAIT The Institute for Computer Science" PhD positions in United States
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strategies, fine-tune parameters, and respond to anomalies as needed Education. Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate
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education program and receive personalized mentorship from senior professionals to accelerate your growth Collaboration. Work in an open environment that allows you to collaborate with systematic traders and
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laboratory notebooks. Monitor progress of research projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards
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More info on the PhD project The TOBI lab (Translational Onco-genomics and Bio-Informatics) has an open position for a highly motivated biomedical researcher with expertise and interest in
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public administration, public health, and urban planning. We have seven academic departments with undergraduate and graduate programs, the Center for Public Management, the UNT Speech and Hearing Center
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openings available. Internal Number: 362548 Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
rational approaches to drug therapy regardless of the area of clinical specialization. The graduate program through the Ph.D. in Biomedical Sciences, Pharmacology and Toxicology Concentration, is broadly
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Appointment Staff - 12 month Position Pension Eligibility PERS Qualifications Minimum Education and Experience Candidates must be currently enrolled in a Ph.D. program in Molecular & Life Science. Experience in
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, including a record of publication demonstrating the candidate's ability to contribute substantially to a research program. We seek candidates who embrace and reflect diversity in the broadest sense
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry