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OPTIMIZATION FOR COMPLEX ENERGY AND SUSTAINABILITY PROCESSES Are you looking for a future industrial research position or a long-term academic career? Do you want to be part of building up research – preferably
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processors. The candidates will contribute to topics including: The offline and online calibration of learning systems through methods such as conformal prediction, hyperparameter optimization, and reliable
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. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular concerned with optimal transport for inverse problems. Optimal
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hyperparameter optimization and conformal prediction methods; The online monitoring of model reliability and performance indicators in dynamically changing environments; The integration of synthetic data from
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addition, to add time and spatial resolution, we will optimize FRET-based probe for specific metabolic pathway. The post holder will be responsible to establish methodologies, develop the project, perform
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addition, to add time and spatial resolution, we will optimize FRET-based probe for specific metabolic pathway. The post holder will be responsible to establish methodologies, develop the project, perform
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intelligence (AI) for application in medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics
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communications Deep knowledge of optimization theory Deep knowledge of Matlab Deep knowledge of CVX Desirable criteria Excellent communication skills Excellent presentation skills We pride ourselves on being
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of integrated sensing and communications 5. Deep knowledge of optimization theory 6. Deep knowledge of Matlab 7. Deep knowledge of CVX Desirable criteria 1. Excellent communication skills 2
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optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support sustainable biomanufacturing. (Bio)pharmaceuticals: Processing science and technology for bio- and chemical