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Field
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
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detection and free space estimation. However, current neural networks are typically developed for a specific radar configuration and task, and often generalize poorly to other sensors. At the same time, large
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the University of Groningen. The research will be carried out in the Innovative Computer Architecture group. The group of Dr. Farhad Merchant conducts internationally recognized research on computing-in-memory
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Complementary health insurance under conditions 2 300 euros
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machine learning or computer vision models Technical competencies in one or more of the following: bio-digital systems, biodesign, applied machine learning, computer vision, computational biology, and/or
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pose estimation algorithms. The models and algorithms you develop will be part of open source and data repositories affiliated with the broader research program and TU Delft’s commitment to Open Science
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5 Sep 2026 Job Information Organisation/Company Tilburg University Research Field Computer science » Computer hardware Computer science » Programming Engineering » Electrical engineering Engineering
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience; background in economics
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degree; strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience
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focus on combining simulations using spatial-genetic-demographic individual based models (e.g., using the software SLiM), machine learning approaches, and genomic data to estimate larval dispersal