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of structures, facilitating a form-finding process driven by FEM analysis. Training deep learning algorithms to suggest multiple structural concepts tailored to specific boundary conditions. Expanding FEM
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structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer the overall structure of the cosmic web are the various versions of the scale-space
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relevant background in algorithms and/or database systems with a research-oriented master’s thesis. Good programming skills. Good written and oral English language skills. Your education must correspond to a
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”. These methods and algorithms will be applied in the fields of (customs) fraud detection, anti-money laundering, and/or misinformation detection, in collaboration with experts from the field. Thanks to
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to cutting-edge tools, algorithms, and large, high-quality seismic datasets. Occasional fieldwork to acquire data from temporary networks, providing you with hands-on experience in the field. A competitive
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immunology. For a recent list of topics that the Murrell lab works on, please see: https://scholar.google.com/citations?hl=en&user=I80vy5cAAAAJ&sortby=pubdate and https://staff.ki.se/people/benjamin-murrell
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to your work duties after employment. Required selection criteria You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining, with a research
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Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission). General information A public list of
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are working with a PhD student and a research fellow who have collected underwater data and preliminary algorithms. With their guidance and supervision, project aims and objectives are expected to be achieved
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research: Develop and analyze dynamic models and guidance and control algorithms Conceptualize and develop sample scenarios, roadmaps and trade-off analyses Code software libraries and perform computational