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for Pollinator Monitoring: Train and optimise deep learning models for pollinator detection and classification using annotated image datasets. Post-processing object tracking algorithms will be incorporated
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trap (MOT) and a high-finesse Fabry–Perot cavity that are currently under characterization. The next milestones are to transport cold atoms into the cavity and observe the first superradiant pulses
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in
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Would you like to work at the intersection of transportation, robotics and machine learning to design mixed fixed-flexible transport networks? Job description The increase of public transport usage
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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. The project begins with bladder cancer detection from urine-derived DNA and expands towards a broader set of urologic and related cancers, ultimately supporting precision diagnostics from urine to clinic
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of mixed fixed-flexible transport networks? Job description The increase of public transport usage has clear potential in transforming our environment to be more liveable, sustainable and convenient. However
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. Visit us on LinkedIn and discover how you can become part of our community. The Utrecht Institute for Pharmaceutical Sciences (UIPS) focuses on processes around discovery, development, and use of drugs
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? No Offer Description We are looking for a motivated and creative candidate to fill a position as a PhD student as part of the MSCA Doctoral Network “SPACER” (Shaping Porous Electrode Architecture
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to design mixed fixed-flexible transport networks? Job description The increase of public transport usage has clear potential in transforming our environment to be more liveable, sustainable and convenient