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patients with mood disorders, including familiarity with clinical assessments (e.g., K-SADS, SCID) Computing and software skills in multiple platforms are helpful as well as familiarity with statistical
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complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures
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, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Fundamentals of Electrical Engineering, the Chair of Biomedical
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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application! We are looking for a PhD student in Wireless Communication and Computer Vision. Your work assignments Point clouds (PCs) are sets of three-dimensional (3D) data points and their attributes
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate on TATTOOS: paTtern formATion Trough biO-inspired cOmputer viSion The
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) is looking for a: PhD Candidate on Exploring Pareidolia in Computer Vision to Enhance Interpretability
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The University of Alabama, Department of Electrical and Computer Engineering | United States | 3 months ago
The Department of Electrical and Computer Engineering has multiple opportunities for students to embark on a fully funded Ph.D. journey within a research-intensive institution. Our students work
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such as autonomous cars and robots. Job description We have multiple open PhD positions at AVI@PRS and we are looking for motivated candidates with a strong background in computer vision, machine learning