69 parallel-and-distributed-computing-"DIFFER" PhD positions at Technical University of Denmark
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. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between
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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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technicians and will take part in the supervision of student projects. We are looking for a team player with the motivation and drive needed for making a difference that matters. You should possess a critical
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its
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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, please see
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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
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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence
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to dimension the reserves for balancing these power systems with manual and automatic reserves such as mFRR, aFRR and FCR. This PhD project will model different balancing principles including MARI and PICASSO
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nanoparticles and reactions at the atomic-level by combining path-breaking advances in electron microscopy, microfabricated nanoreactors, nanoparticle synthesis and computational modelling. The radical new