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for business. It cooperates with the largest national and international corporations. It conducts research of a European standard, develops new technologies and creates innovation in collaboration with
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investigates how electricity markets must be designed, and how demand-side flexibility must be mobilised, for a power system dominated by variable renewable generation to remain reliable and affordable
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of the land on which we live, work and create The Inclusive Design Research Centre seeks a researcher/developer at the post-doctoral or PhD candidate level to join an interdisciplinary team co-designing and
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translating innovation into real-world impact. The Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) and the Institute of Biological and Medical Imaging (IBMI) at Helmholtz
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Design and build an interactive, open-access web platform for visualization and usage of multi-omics datasets Integrate newly generated data with in-house and publicly available datasets to interpret
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circuit verification. Additionally, you will design and implement prototypes (using C++, Python, and MATLAB) and contribute to open-source tooling where applicable. Support for teaching at Technical
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of the technology, one of whose key areas (the subject of this postdoctoral position) is to design and develop innovative materials combining catalytic efficiency, electrical conductivity, and mechanical strength, in
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
of climate change and human migration, starting on the earliest possible date. Key responsibilities: conceive, design, and conduct quantitative research on human migration develop and test new approaches
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-omics data (scRNA-seq, scATAC-seq, Multiome) to reconstruct gene regulatory networks in 3D forebrain dorsal organoids to determine pathophysiological consequences of aberrant NR2F1 dosage Design and build
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designing and running large-scale experiments, developing fine-tuning and reinforcement learning approaches, and studying how LLMs can generalize more reliably across tasks and reasoning domains. We