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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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: Doctoral degree (PhD, DrPH, MD, or equivalent) in public health, health services research, health administration, policy analysis, or a related field 10 years of experience in research leadership within
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Doctoral position at Department of Electronics and Nanoengineering at Aalto University, in Espoo, Finland. DC2: Sub-terahertz and terahertz reconfigurable intelligent surfaces Main supervisor: Prof
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supportive and forward-thinking School, with excellent links to industry and professional industry bodies. The Person You will hold (or be close to completing) a PhD in Acoustics or a related field and have
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) Computer user skills (mandatory) Excellent command of English (mandatory) Ability to work in a team (mandatory) Professional skills: Development of ab initio methods (optional) Methodological skills: Python
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research facilities and research excellence. To be considered for the role, you will be educated to a minimum of PhD level in a relevant subject (e.g. Power Electronics or similar area); or have equivalent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
groups or a Master’s degree in genetics, molecular biology, biochemistry, or a related field and at least 2 years of post-degree experience; or a PhD in genetics, molecular biology, biochemistry, or a
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software environments. They must possess a proven ability to work in interdisciplinary environments, to supervise research teams and PhD students, and to structure collaborative scientific dynamics
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students in extracurricular settings. Effective communication, interpersonal, and organizational skills. Ability to work collaboratively with faculty, staff, and students. Preferred Qualifications: PhD in
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engineering? Then this professor position might be for you. We are looking for a new professor to lead research in probabilistic machine learning, with a focus on areas such as deep generative models, Bayesian