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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
scientific publications Your profile #M.Sc. degree in geography, environmental science, sustainability, related disciplines or interdisciplinary master programs #experience in handling of geographic- and/or
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“ program of the Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (GGNB, http://www.uni-goettingen.de/en/sh/56640.html), which offers attractive interdisciplinary training
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part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be
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and exciting opportunity to engage in cutting-edge research in molecular biomedicine and translational oncology, with a special focus on lung cancer. Program Overview: The IRTG program, titled "Tumor
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compatibility private and professional life; offers of mobile and flexible work #PhD Buddy Program #free assistance program for employees (EAP) #corporate Benefits #office location in the heart of the city of
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Bioimaging Cluster of Excellence (https://mbexc.de/ ). Most PhD students are inscribed in the competitive „sensory and motor neuroscience“ program of the Göttingen Graduate School for Neurosciences, Biophysics
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management Guide M.Sc. students Participate in a dedicated training plan For further information, please contact Prof. Gabriele LENZINI at info- and Prof. Pedro CARDOSO-LEITE Your profile The ideal candidate
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to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus
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Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support
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the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost