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the research team; contributing to the optimization of the investigated enhancement geometries; disseminating research outcomes through publications in leading international journals and presentations
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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM
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supervision. Develop and optimize instrument methodologies and data analysis. Disseminate findings via presentations and peer-reviewed publications. Work with colleagues in the development of joint research
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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production processes, notably focusing on optimizing growth conditions and improving overall process sustainability. WHAT WE ARE LOOKING FOR You hold a thesis-based doctorate in bio-engineering, biotechnology
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-throughput data, identify differentially expressed genes, explore protein interaction networks, and perform pathway and functional enrichment analyses. Responsibilities also include developing and optimizing
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architectural models, system-level simulators, and performance modeling frameworks for QHPC systems, capturing relevant characteristics of quantum processing units, classical HPC resources, interconnects, system
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analysis, with the long-term goal of enabling health-aware battery management and optimized charging strategies. Qualifications Requirements A doctoral degree or an equivalent foreign degree in Control
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guidance from your mentor, your learning opportunities may include: Assist in the design of new grant programs for energy optimization and residential workforce development created through the Infrastructure
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involve various aspects of the modeling and the optimal control of active systems. The candidate is also expected to take part in the scientific activities organized within Physics of Active Matter group