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economicssystems/ operations management, econometrics, machine learning, extensive data analytics and qualitative research methods. The student will collaborate closely with advisors to identify, develop, and carry
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the power of data and machine learning! Job Description We are seeking a highly motivated PhD candidate to join our research team focused on Collaborative Metadata Management for Large Data Repositories
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some academic research experience post-Master level. Demonstrable affinity with archival sources. Strong skills in GIS-based research, additional experience with computer vision and machine learning is a
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that can be used for training machine learning and deep learning models. You will work in tight collaboration with other researchers in Nijmegen, Delft and at the Hubrecht Institute (van Oudenaarden group
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neuroimaging (fMRI, MEG, iEEG) and behavioral data. This PhD position is part of the Natural Auditory Scenes in Humans and Machines (NASCE) project, funded by the ERC Synergy Grant, and hosted at Maastricht
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-heuristic search algorithms such as Quantum Annealing (QA). Your contributions will be pivotal in advancing the field of DSE in the computer system domain. This PhD position offers the chance to not only push
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models and algorithms requires working at the intersection of machine learning and mathematical optimization. Evaluating such algorithms requires close interaction with our industrial project partner from
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Institute for Brain, Cognition and Behaviour. You will work on studies of visual perception and decision-making. Research methods include computational modelling, brain imaging (fMRI), machine learning
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project. Moreover, the project offers a unique opportunity to work in an international environment and to acquire valuable research experience. The PhD project The project analyzes the potential
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the gap between advanced machine learning and clinical application. Your tasks are: - Exploring molecular dynamics and proteomics methods to enhance variant interpretation, which may also include a role for