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candidate who is interested in research at the intersection of psychology, education and communication science. You enjoy working in a collaborative environment in which you have the freedom to work
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collaborative environment in which you have the freedom to work independently, while also contributing to a shared goal. You take a mastery-oriented approach to your own learning and development and are eager
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foundational AI and machine learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that
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challenging, especially in dunes with complex topography. Your job In this 2-year postdoc position, you will use numerical modelling and machine learning techniques to increase the accuracy of coastal dune
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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outputs of European and Global Interest; Conduct individual and collaborative research complying with and following research ethical standards; Carry out administrative and management work
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skills in Python, R, or similar languages. Self-starting and collaborative attitude. Preferred qualifications and experience AI/ML applications: applying machine learning or AI to integrate, discover