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of recommendation MINIMUM QUALIFICATIONS Candidates should have a Ph.D. in Physics, Mathematics, or Computer Science. A strong track record of research accomplishments in technical fields, ideally involving
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excellence, value and thought leadership to ensure our research sponsors achieve their goals. Our Mission and Vision Our Vision - TTI leads in the creation of knowledge that transforms transportation
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scientists from Munich's two largest universities, the Helmholtz Zentrum München and the Max Planck Institute of Biochemistry, collaborate on an interdisciplinary basis. The cluster's research vision is to
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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, computer science, mathematics, or statistics or related field. The BarabásiLab is seeking motivated individuals with an interest in exploring complexity and its applications to food, art, science, and medicine from
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fundamental questions in bioscience, and translate that knowledge into societal benefits. Our strategic vision, HealthyPlants, Healthy People, Healthy Planet , sets out our ambitious long-term goals
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radiochemical processing, isotope separations, or nuclear systems. Experience with statistical design of experiments and integrated experimental/computational research approaches. Ability to work effectively
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to the position, and intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with an indication of the attached publications that you
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University in our vision . Come Take Flight at KSU! Location (Primary Location for Job Responsibilities) Our Kennesaw campus is located at 1000 Chastain Road NW, Kennesaw, GA 30144. Our Marietta campus is
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This offer is part of the DuraSyS-PAC (PEPRH2) project