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of Computer Science. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3
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wish to shape the future direction of archival studies through innovative, theory-driven, and practice-oriented research in an optimal research environment. Close cooperation with Austrian and
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interventional human studies investigating the effects of specific collagen peptides on cognitive functions, functional joint health, osteoporosis, and their optimal dosage. You will work at the exciting interface
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exchange initiatives. You will ensure that early career researchers are optimally prepared for their next career steps and feel well supported at the University of Vienna. The position is initially limited
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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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routine maintenance, troubleshooting, and setup of instruments within the Mass Spectrometry unit of the Research Support Facility. • Supporting data analysis for collaborators and optimizing sample
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data, stochastic optimization, modern machine learning methods, scalable algorithms for advanced Machine Learning techniques and explainable AI. In teaching, the position will contribute, inter alia
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candidates with expertise in Operations Research, Management Science and Business Analytics with a focus on fundamental research in combinatorial and stochastic optimization for business applications. In
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participate in interventional human studies investigating the effects of specific collagen peptides on cognitive functions, functional joint health, osteoporosis, and their optimal dosage. You will work at the
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excellent organizational skills Passion for developing and optimizing advanced data infrastructures Experience handling sensitive data and familiarity with relevant data protection standards (e.g. GDPR