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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
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about the faculty here . About the research project We are seeking a highly motivated postdoctoral researcher to join the QuantuMRI programme, funded by the Novo Nordisk Foundation’s Interdisciplinary
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innovative research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as
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Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality
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₂ Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently-funded EPSRC Programme grant, undertaking research into nanotheranostics, support
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/ Please find more information about research opportunities at Aarhus University here: http://international.au.dk/research/ Aarhus University also offers a Junior Researcher Development Programme targeted
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Targeted mutagenesis / protein engineering and screening of muteins Computational biology on an HPC cluster Teaching experience with bachelor and master students Candidates should have the following personal