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, including maintenance, alignment, quality control, trouble shooting and cleaning Supporting scientists in their work on the microscopes, in particular regarding optimization of sample preparation and
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the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost
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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate
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human patient samples and cutting-edge AI-driven analyses Validate computational findings through functional laboratory experiments Develop and optimize protocols involving omics methods, immune cell
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algorithms formulating industrial problems to make them accessible to quantum algorithms mapping quantum algorithms to specific use cases and applications optimizing algorithms in the context of such use cases
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Broadband UV-generation position Push the frontiers of nonlinear optics in multi-pass cells Optimize third harmonic generation in nonlinear gases Develop scaling concepts to kJ pulse energy levels General
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partnerships and adept at vendor management. With your flexibility and problem-solving skills, you comfortably navigate issues and escalations. You are motivated by the challenge of optimizing strategic
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and autoimmune diseases Identify and validate new drug targets, biomarkers, and pathways relevant to immune-mediated disorders Generate data that supports lead optimization, biomarker discovery, and
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information is lost through this depreciated sampling frequency remains unknown. DETERMINER aims to determine the optimal sampling frequency for detecting externally driven phytoplanktonic change while also
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multiband transceiver architecture design and implementation on software defined radio (SDR) Design and optimization of multi-gear radio interface by selection of hardware architecture and transmission