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Field
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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almost every product we use, mathematics, electronics and computer technology contribute to all of society's activities. The faculty works together intensively with industrial and medical partners
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technology, or applied mathematics, with a specialization in energy systems analysis, or energy economics. Strong written and verbal communication skills in English. The following experience will strengthen
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economics or a related discipline from a reputable university Strong knowledge in econometrics / applied mathematics / applied quantitative methods, with the ability to apply this knowledge to real-world
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Faculty of Mathematics and Natural Sciences PhD Position (f/m/x) Humboldt Centre for Nano- and Biophotonics | Gather Lab We are one of the largest and oldest universities in Europe and one
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in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our
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Degree PhD Course location Münster In cooperation with Max Planck Institute for Molecular Biomedicine Teaching language English Languages English Full-time / part-time full-time Programme duration 8
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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the project The position is part of the EU Horizon project EU-INTERCHANGE (European Regional and Coastal Seas in a Rapidly Changing Climate) aiming to develop a Digital Ocean Twin based on optimised
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
at scale? Digital twins offer a promising foundation, but to truly support engineering decisions, they need to go beyond simulation and begin to interpret and reason about the systems they represent