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life-cycle dynamics, evolving local contexts, and structural societal changes. The network includes five European universities and several non-academic partners, offering interdisciplinary supervision
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systematic approach to problem-solving. Proficiency in scientific writing and English communication Why Join Us You will be part of a dynamic international research environment, working with cutting-edge
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development of implements for managing main and support crops in the field, tested on stationary gantry robots and mobile platforms. Work includes lightweight, structurally optimized mechanical design, sensor
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cross disciplines with applied research focused on studying people and nature relationships. We are located in Copenhagen. We offer creative and stimulating working conditions in dynamic and international
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generation of researchers to advance rural development theory and practice through entrepreneurship. EPHEMERAL explores how entrepreneurs shape rural places over time, considering life-cycle dynamics, evolving
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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over time, considering life-cycle dynamics, evolving local contexts, and structural societal changes. The network includes five European universities and several non-academic partners, offering
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breakthroughs by: Developing a dynamic optimisation framework for household demand response (DR) and demand flexibility. Exploring demand response options, including innovative contract designs and dynamic
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well organized, structured, self-driven and enjoy interacting and collaborating with colleagues including PhD students, postdocs, and you are expected to take part in supervision of BSc and MSc students