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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in inHealth-Aware Optimization of Lithium-Ion Battery Charging is available from 1stof March 2026 (or as soon as possible
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serving (Ray/VLLM), quantization and sharding, prompt optimization, reinforcement learning, Transformers/Deep-SSMs/Test-Time Regression Extensive knowledge of agentic AI systems research, engineering and
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, synthetic biology, yeast genetics, or related fields. Strong knowledge of heterologous protein expression and optimization. Experience with high-throughput screening and genetic-engineering technology is
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. Responsibilities and qualifications Molecular thermodynamics plays a crucial role in the modelling, design, and optimization of various systems in product and process engineering. Despite significant progress made
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. The candidate will design models and algorithms for learning and decision-making under uncertainty, optimized for real-time operation on heterogeneous physical devices. Finally, the position will address how
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. Knowledge of Danish is not a requirement but will be considered positively. Qualifications The applicant must hold a PhD or equivalent qualification. Particular emphasis will be placed on research experience
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the applicant and the Department of Ecoscience. The position concludes after 24 months. Job description The Department of Ecoscience, Aarhus University is looking for a post-doctoral researcher to optimize a
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robotic 3D printing. Optimize the digital twin for different manufacturing process parameters, printing methods and materials. Disseminate the results in peer-reviewed journals. More specifically, you
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development, particularly in LabVIEW, C++ and Python programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed
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dynamic metabolic processes within microfluidic systems. Integrate microfluidic platforms with NMR hardware, including fluidics interfacing, probe adaptation, and spectral acquisition optimization. Analyze