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Description Your profile We are seeking an evolutionary and/or developmental biologist with a solid empirical background and methodological skillset and a keen interest in addressing fundamental
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interests of the group are in the areas of combinatorial optimization, efficient algorithms, approximation algorithms, optimization under uncertainty such as online, stochastic, or robust optimization, and
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inviting applications for a PhD Student (f/m/x) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project description Single molecule X-ray
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Description The Chair of Transport Modelling and Simulation at TUD Dresden University of Technology is investigating models, algorithms and simulations to achieve an enhanced scientific
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the functional consequences and evolutionary origin of the diversity of olfactory circuit organization. PhD Project: Evolution and regulation of odorant receptor expression in ants The student will be part of a
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://reallabor.offshore.uol.de/en/ ). Within your PhD, you will develop wind farm control algorithms that can contribute to providing system services with a focus on active power and frequency control while simultaneously
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. The acronym CAUSE stands for Concepts and Algorithms for - and Usage of - Self-Explaining Digitally Controlled Systems. Digitally controlled systems are ubiquitous in our everyday lives, from transportation
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, their achievements and productivity to the success of the whole institution. At the Cluster of Excellence „Physics of Life” (PoL), the Heisenberg Chair of Biological Algorithms (Prof. Dr. Benjamin Friedrich) offers a
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Neural Quantum States, deep learning approaches to design quantum computing (QC) algorithms, and AI and ML techniques to improve state-of-the-art quantum Monte Carlo methods. The main work location is
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, Physics or related In-depth knowledge in the field of operations research / numerical optimisation algorithms A pro-active working attitude Independent work, also within a multidisciplinary team Programming