82 parallel-computing "NTNU Norwegian University of Science and Technology" PhD positions at Technical University of Denmark in Denmark
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with methodologies such as AI-assisted evidence synthesis and quantitative health impact assessment and become part of an interdisciplinary research environment with strong links to DTU Compute and the
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Job Description The Quantum and Nanophotonics section at DTU Electro is seeking an excellent and highly motivated PhD student to be a part of a program on ‘Symmetry-guided discovery of topological
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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(120 ECTS) in chemical engineering, computer science, or a related discipline Some familiarity with ontologies, semantic data formats, knowledge graphs, and technologies such as OWL, RDF, SPARQL
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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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interactions in regioselective carbohydrate synthesis catalyzed by glycoside hydrolases. The alliance partner university is the Norwegian University of Science and Technology (NTNU) in Trondheim, and the PhD is
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, geophysics, materials science, computation, engineering, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and
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study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Senior Researcher Manuel Gesto Rodriguez and Professor and Head of Section Per
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of applicants will be made by Assistant Professor Raphael Ferreira together
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, might be for you! Responsibilities and qualifications Working with colleagues in the MULTIBIOMINE project, you will develop computational methods that use novel strategies to uncover hidden features in