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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
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, and to assess the consequences for sustainable development. Through a comparative and long run study of rural Asia, the project will investigate interactions between climate, institutions and
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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
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-of-the-art atomic physics experiments and developing quantum technology? Then we are looking for you. The hybrid atom-ion quantum systems lab, headed by Dr. Rene Gerritsma, is part of the Quantum Gases and
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the Dynamics and Control section at the Department of Mechanical Engineering, Eindhoven University of Technology. The mission of the Dynamics and Control Section is to perform research and train next-generation
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD position is part of RE:Match.D, which aims to develop a digital
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
nomothetic assessment, and refines the development of psychological theories. Yet rigor is underdeveloped in psychological mixed methods research, it is unclear how methodological innovations from (mostly
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challenging for classical computing architectures. Some of your responsibilities will include: Design and develop mixed-signal circuits for implementing ONNs. Modeling, simulate and benchmark different
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energy minimization. In this project, you will further explore and exploit the potential of ONNs performing sense and compute functions. Some of your responsibilities will include: Design and develop
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manufacturing technologies and eager to develop and build experimental setups and combine this with physics-based modelling? Join us as a PhD candidate and contribute to making volumetric 3D printing predictable