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degree in engineering, maths or a relevant discipline, preferably at master's level - in exceptional circumstances a 2:1 degree can be considered. Funding Explore funding opportunities for postgraduate
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decision-making. A main challenge is finding ways to link AI-driven creativity with clear environmental performance feedback early in the design process. This phase is characterized by high uncertainty in
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, with a strong emphasis on multi-agent systems, optimal control, and algorithmic market design. Your main tasks will include: Model AI-driven learning dynamics in electricity markets Analyze equilibria in
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at Karolinska Institutet and Abitec Larodan Lipids. Main supervisors are Hanna Barriga (KTH) and Randi Nordström (RISE), with co-supervision by Matti Sällberg (KI) and Donald Kelemen (Abitec Larodan Lipids). You
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the development of next generation Lateral Flow Assays (LFA) for the detection of biological threats. Main Tasks and responsibilities: The successful applicant will be expected to: Develop and design next
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employment conditions Work and science require good employment practices. Radboud University's primary and secondary employment conditions reflect this. You can make arrangements for the best possible work
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degree with either the UTS Sydney or the University of Groningen. Teaching language English Languages Our primary language in the PhD programme is English. In addition to the mandatory English language
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the main supervisor; Dr Ali Ehsan - ali.ehsan@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your
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. To apply, please contact the main supervisor, Dr Thomas McDonald - thomas.mcdonald@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience
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scholars are encouraged to audit masters and degree level courses where appropriate. You will also have the support of the Sustainable Transitions management team as well as your own supervisory team