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Optimization: Mathematical Phylogenetics During this project, you will work on fundamental graph-theoretic and algorithmic problems in mathematical phylogenetics. Job description The Discrete Mathematics and
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application! We are looking for a PhD student in automatic control. Your work assignments You will work within a project focused on optimization, planning, and decision-making in control systems involving
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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necessary to make closely related decisions while ensuring that complex constraints are met and optimizing the often-conflicting criteria of different stakeholders. The objective of this research is to design
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Posting Title Graduate PhD (summer/year-round) Intern - AI Foundation Model for Power System Optimization . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working
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recommend that you apply early as the advert may be removed before the deadline. This fully funded PhD position, offers an exciting opportunity to develop and optimize multiscale models for surfactant
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Your Job: Literature research on /Familiarization with the topic of tr-PL and TCSPC and perovskite PV Familiarization with the measurement equipment and set-ups Qualitative measurement of the tr-PL of charge carriers in a range of perovskite samples Qualitative TCSPC measurements for a range of...
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Hip replacement is one of the most successful surgical procedures, with over 100,000 operations carried out annually in the UK to relieve pain and restore mobility. Despite its success, some patients...
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computational tools, including optimal-control techniques, that directly support ongoing experiments and advance the control of bosonic quantum operations. About us The position is hosted at the Applied Quantum
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This research focuses on developing and evaluating methodologies for the optimal design of control charts within the framework of Statistical Process Control (SPC). The study aims to determine the