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interested in publishing impactful work at venues like SIGIR, NeurIPS, ACL, or FAccT? The IRLab is looking for an ambitious PhD candidate for responsible advice-giving systems that helps answer these questions
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machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation on speech production in relation to individual connectivity profiles. Coordinate closely with clinical
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Agreement for Dutch Research Institutes) An appointment at NIOZ as a PhD candidate means working and learning simultaneously conform the NIOZ PhD policy. 338 annualized holiday hours for a full-time 40-hour
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at NIOZ as a PhD candidate means working and learning simultaneously conform the NIOZ PhD policy. 338 annualized holiday hours for a full-time 40-hour work week. Pension scheme via ABP, 8% holiday allowance
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perception systems, using deep learning and simulation-to-real domain adaptation techniques. You will work with a multidisciplinary team, contributing to fundamental and applied research. Your role will
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-design. Experience with hardware acceleration (FPGAs, GPUs, SoCs) and low-power design. Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus. Ability to work in an
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the dispersion of these macroplastic items in these flow fields; comparing the results of the simulations to results from an experimental campaign of floating trackers; collaborating with a postdoc and two PhD
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fail to capture, even in decibel A, how sounds are actually perceived by humans in context. This PhD position is part of the NWO-funded project "Auditory Footprints: A novel soundscape assessment
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research profile, and an international network around big data in marine sciences. The candidate will have access to NIOZ’s high-performance computing cluster, GPU nodes for deep learning, dedicated data
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campaign of floating trackers; collaborating with a postdoc and two PhD candidates who simulate dispersion of macroplastic in an ocean general circulation model of the Northwest European shelf; further