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focused on polymeric functional and particulate materials. The candidate will play a key role in translating lab-scale innovations into demonstrator and pilot-scale processes, and will contribute to reactor
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of programming, learning theory, parallel algorithms or quantum computing Research publications in theoretical computer science conferences and journals Experience in teaching Computer Science topics
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the Bioinformatics Core Facility and Head of the ELIXIR-Luxembourg Node. Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should
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protein expression and purification, capable of producing thousands of proteins in parallel within weeks . 2) Eukaryotic expression systems facility for production of challenging protein targets. 3) A fully
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processing. Advanced cryoET sample preparation (correlative approaches, cryoFIB milling) Microbiology, cell biology and/or biochemistry An affinity for methods development and collaborative multidisciplinary
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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has investigated the neural mechanisms that govern such memory unlearning processes. In rodent models, a classical example of unlearning, in which animals learn to de-associate a previously encoded
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imputation for mixed-type data. Bioinformatics, 28(1):112–118, 2012. Yusuke Tashiro, Jiaming Song, Yang Song, and Stefano Ermon. CSDI: Conditional score-based diffusion models for probabilistic time series
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, implementation, monitoring of quality processes in teaching and learning: Support the Dean's office and course directors on matters relating to quality enhancement and assurance primarily for the Faculty's study
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from