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Field
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upon future funding. Qualifications Required Education and Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques
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, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls
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mentoring of graduate students. The required qualifications are: PhD degree in Civil Engineering, Materials Science, Chemical Engineering, or related field Extensive research experience related to concrete
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Pension Eligibility ABP Qualifications Minimum Education and Experience PhD, MD or MD/PhD in psychology, cognitive neuroscience, computational psychiatry, or a related field. Proficiency with programming
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Postdoctoral Research Associate to focus on computational neuroscience. Minimum Education and Experience Requirements PhD or MD. Required Qualifications, Competencies, and Experience Advanced knowledge
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. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Preferred Education and Experience PhD in biomedical engineering, pharmacology, neuroscience, physiology
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technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable planet”. For the ERC-funded project RockDeath (Role of Fluids in rock
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and