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analysis (FP&A), risk management, and accounts receivable. The AVP plays a key role in ensuring the institution’s financial strength, liquidity, and risk resilience in alignment with the University’s mission
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and risks (CREER), artificial intelligence and industrial and digital engineering (CERIS). It has 12 technology platforms and 1,600 partner companies. The position is part of the European BEST-CROP
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- Literature review and data analysis. - Development of predictive models and innovative risk assessment methods. - Sample analysis and toxicological evaluation. - Probabilistic exposure modeling and uncertainty
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, to ensure contractual agreements are in place to support all spend. 3. To pro-actively take responsibility for identifying new procurement opportunities within the university through financial analysis and
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features that support decision analysis and risk management in energy finance. These features include probabilistic models, which estimate the full conditional distribution of energy derivative prices and
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eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes . We offer - The opportunity to do fundamental research - A world class
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second in the UK for research power and first in England. The UCL Hawkes Institute (https://www.ucl.ac.uk/hawkes-institute/ ) combines methodological researchers from the Departments of CS and Medical
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at Forschungszentrum Jülich, in close collaboration with bioimage analysis partners at Karlsruhe Institute of Technology. Your tasks in detail: Develop and extend deep-learning–based segmentation, classification and
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chromatography simulation framework Simulation and analysis of batch and gradient elution processes using predictive isotherms Curation and analysis of experimental chromatography data for model training and
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an above-average PhD in energy system modeling, material flow analysis, or a related field, and a corresponding master`s degree You have extensive experience in industrial ecology and material flow