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Microlocal analysis explores the classical/quantum correspondence in partial differential equations (PDEs). For example, the concept of symbol quantisation in the theory of pseudodifferential
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research questions, and be able to think critically and develop your own scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data
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framework for underlying structures in high dimension such as underlying covariance structure, conditional dependency graphs etc. With the change in data-generating mechanism, these high-dimensional
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The Data Management and Biometrics (DMB) group at the University of Twente is seeking one PhD candidate to join the research team of Dr. Nicola Strisciuglio to work on compositional learning
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of scienceYears of Research ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UPR8001-CORALO-020/Default.aspx Work Location(s) Number of offers
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18 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Electronic Systems, Connectivity, Aalborg Research Field
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Development Design new statistical and machine learning models tailored to this emerging omics modality. Multimodal Data Analysis Work with high-dimensional datasets combining quantitative RNA features
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 6 hours ago
Bioanalytics for the Multidimensional OMICS Data Analysis research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus
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to present the test results as part of their application. These results will be requested at a later stage during the selection procedure. For more information see https://www.tudelft.nl/onderwijs/opleidingen
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This project addresses a fundamental question in digital twin development for fusion energy systems: the relative roles and limitations of physics-based models, experimental data, and AI-driven