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deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're
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HF, including chelating ligands, reactive nanoparticles and additives Optimize melt-spinning, uniaxial stretching, and post-treatment steps to control sheath porosity and ion diffusion Acquisition
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chemical research and IT systems. Proficiency in Python (or a comparable scripting language) for data analysis, workflow automation, and process optimization. Working knowledge of Linux and Windows operating
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Generate modelling approaches to predict optimal cereal-legume combinations Supervise and mentor students from BSc to PhD-level Assist in the delivery of lectures or seminars for the Crop Science group
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facilities are running and available. Scientific and research support: Support users in developing and optimizing analytical protocols for challenging analytes and complex matrices, including sample
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includes the design and manufacturing of miniaturized platforms and their optimization for biochemical assays and analytical procedures. For a third-party funded project, running for four years, we
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includes the design and manufacturing of miniaturized platforms and their optimization for biochemical assays and analytical procedures. For a third-party funded project, running for four years, we
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data
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for a duration of 4 years. The optimal starting date for this position is September 2026.
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be responsible for collection and processing of eDNA samples from a range of different environments, as well as development, testing, and optimization of molecular reactions and detection methods under