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regular gatherings such as professional meetings within the research group, monthly colloquia, shared lunches, and “Friday coffee” sessions to wrap up the week. These formal and informal occasions provide
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requirements Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program. The Master’s degree
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the development of methods or frameworks to support secure and trusted data sharing for maritime AI model development. Depending on the candidate’s background and the project’s progression, the research
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(algorithms), and statistics. During this project, you will develop new methods to construct phylogenetic networks and generalize mathematical frameworks of phylogenetic network classes to tackle related
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” sessions to wrap up the week. These formal and informal occasions provide opportunities to exchange ideas, celebrate milestones, and strengthen connections. PhD candidates also arrange social activities
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experience (front-/back-end, metrology/inspection, equipment maintenance, yield-improvement projects). Digital twin, IIoT, MLOps, real-time data streaming, edge computing. Causal/XAI, Bayesian methods
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control to improve part quality, reduce defects, and tailor anisotropic performance. Integration of advanced post-processing methods to improve the structural integrity, performance, and reliability
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AI methods to scale this up across large geodata repositories, enabling users to explore various ways maps can be reused to answer different kinds of questions. We are looking for a motivated PhD
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method development & optimization: Proven ability to develop, optimize, and validate LC-MS/MS methods for complex sample types. Expertise in extracting proteins, metabolites, and lipids and performing nano
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to the conserved neural organization of the mammalian brain, which provides a common computational blueprint across species despite profound differences in body plan and ecological niche. Motivated by this analogy