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recent large-scale capabilities in physics. Reliability, exploring uncertainty quantification and robust inference in machine learning. Explainability, leveraging identifiability and unique recovery
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. The PhD project falls under Research Track 1: Informational Modes of Learning. Functional connectivity captures the statistical relationships between distinct brain regions, whereas effective connectivity
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redundancy in brain signals elicited by acoustic stimuli. The PhD project falls under Research Track 1: Informational Modes of Learning. Functional connectivity captures the statistical relationships between
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(Python preferred) for bioinformatics or data science applications. Demonstrated track record with single-cell technologies (experimental and/or data analytics). Approval and Enrolment The scholarship
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Repositories and Issue Tracking Systems. Fluency in English is required. About the Department and the University Based in Odense, the Department of Mathematics and Computer Science offers an inclusive and
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, depending on the candidate’s strengths and interests, following one or more tracks: Privacy-preserving mechanism: quantify privacy risks and develop privacy protection techniques so that grid operators can
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. It is notable that this PhD scholarship is
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. Documented experience in metabolic engineering, synthetic biology, and microbial physiology. A strong track record working with non-model prokaryotes or emerging microbial platforms. Hands-on experience in
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infrastructure construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. DUTIES AND RESPONSIBILITIES
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skills beyond your strong pre-existing skills - which will be evidenced by excellent grades in relevant courses. You are driven, self-motivating and have discipline and grit as demonstrated by your track