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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University. The postdoctoral
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-million-dkk-interdisciplinary-brain-research/melanie-ganz-benjaminsen ). The project aims to develop an AI algorithm for mental health screening, specifically targeting Major Depressive Disorder (MDD). A
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., programming language theory, formal methods, or algorithms/optimization) and be open to practical computational experiments. PostDoc applicants must further demonstrate a solid history of academic writing and
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? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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Bioinformatics, Computational Biology, or documented research experience in a related field. The applicant should have experience in one or more of the areas/fields mentioned below Proficiency in programming
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algorithms and circuits to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will