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at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data, stochastic optimization
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with a focus on GC-HRMS and Orbitrap analysers Develop, optimize, and validate analytical GC-MS and LC-MS methods for various applications Provide training, consultation and technical support to fellow
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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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also benefits your own career. What we offer: Strong support for early-career researchers: Your career and professional development are our focus - we aim to prepare you optimally for the next step in
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neural networks under symmetry constraints, their optimization dynamics, and their generalization behavior—particularly in low-data or out-of-distribution settings. The work combines formal theoretical
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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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perform optimally and are suitable for specialised applications, we are looking for a new team member at our location in Ranshofen . A core focus of this role is the investigation of innovative welding wire