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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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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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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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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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, and optimum sampling strategies. Proficiency in machine learning, deep learning, and artificial intelligence techniques. Familiarity with clinical applications and workflows. Basic understanding
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fully funded PhD position within the LowDataML doctoral network, focusing on developing innovative machine-learning approaches for drug discovery under low-data conditions. LowDataML aims to bridge
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projects and to acquire funding. In education, you will teach in the Biology programmes, develop and coordinate a new course, and supervise research projects of BSc, MSc and PhD students. Where to apply
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emerging as a promising paradigm to overcome bottlenecks in conventional computing, offering ultra-fast and low-energy information processing. Recent advances include both spiking and deep learning schemes
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/phd-in-micromechanical-experime… Requirements Specific Requirements An outstanding, motivated, enthusiastic, curiosity-driven researcher. Deep analytical skills, initiative, creativity, and flexibility
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competencies Education You should have completed within the past five years or be close to completing a PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science