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Field
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cloud computing or high-performance computing environments. You have knowledge of meiotic recombination, genome analysis, or pan-genomes. What we offer you We will give you a temporary employment contract
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strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
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take a leading role in the modeling and validation of this innovative system. Your main tasks include: Developing thermal models of convective heat transfer in ventilated cavities and their coupling
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with analysis of proteomics data is essential. You are highly motivated, creative and willing to work with human postmortem brain tissue and Parkinson model systems. Within this project most
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of World Archaeology of our Faculty. The research appointment is for a two-year timeframe (1.0 FTE). Part time work is negotiable (e.g. 0.8 FTE). The Postdoctoral position will be supervised by Dr Wei Chu
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed to complex and overlapping pressures. Climate change, geopolitical
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-sensitive upscaling and implementation of hydrogen production, storage and transport. The candidate will employ system- and discourse-analytical tools, along with institutional analysis, to map values and
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to composite propellers still faces significant challenges. One of these outstanding challenges is cavitation erosion, which causes reduced performance and accelerated material degradation in seawater
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what you will do You will carry experimental work in the lab, from bibliographical research, setup and protocol design to data analysis. We ask you to become independent by taking initiatives and