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to improve R&D efficiency, and the influence of investors and other external actors on entrepreneurial outcomes. Our research also examines decision-making under uncertainty, including the use of Bayesian
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. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track record
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environment perception in autonomous driving by integrating acoustics. Possible research directions include the use of audio-visual foundation models, audio-driven sensor fusion for object detection, cross
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-driven research that contributes to this project’s objectives and culminates in a successful doctoral dissertation. You will also contribute to the academic community by publishing and presenting your
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the Netherlands’ national bird, the black-tailed godwit. Join our team! We seek a quantitative, ecology-minded PhD candidate to expand our state-of-the-art Bayesian Integrated Population Model (IPM
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& Pluralism team, which helps you to find your way in academia at Erasmus University Rotterdam. Job requirements We are looking for a curious and committed researcher with an affinity for transdisciplinary
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find below! Everything you need for a good work-life balance : the option to work from home in consultation with your manager, 41 days of paid leave with a 40 hour contract, 8% holiday pay and an 8.3
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collaborate with these collectives? Do you want to find out how citizen collectives and local governments can develop co-creative partnerships based on equal footing respecting reciprocity, trust and
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characterization using cryo-electron tomography (cryo-ET), and complementary light microscopy methods. Specific objectives are: Setting up cryo-ET FIB SEM workflow for reconstituted synapses Visualize nanoscale
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-centred design. Experience with qualitative and quantitative user research, such as interviews, contextual inquiry, observations, questionnaires, and objective measurements for comfort studies. Strong