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-leading physics capabilities and enable time-dependent, non-LTE radiative transfer magnetohydrodynamic (MHD) simulations. The framework will be released as open-source software, with a strong emphasis on
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through long-term impact assessment and optimization. The goal is to develop a framework to estimate carbon emissions across AI's development, operation, and use. This framework enables stakeholders
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, including the operation of magneto-optical traps, the production of quantum degenerate gases, optical trapping and optical lattices. The post holder are expected to be able to work effectively both
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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be discussed. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential Criteria A PhD awarded (or near completion) in a relevant
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Award. The Role We are seeking a highly motivated researcher - either a Grade 7 PhD holder, or a Grade 6 graduate - to join the IMPACTS project, funded by the Northern Net Zero Accelerator. The project
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that have been identified as causes for societal and political processes and events in the Mediterranean in the first millennium CE, combining historical and archaeological approaches. The central questions
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dilution refrigerators, measurement electronics and software, and fabrication processes all in place to achieve top scientific results without the need to build tools for years. Responsible and meaningful
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. The University has been awarded the Disability Confident Leader status. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make
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to supervision of MSc and PhD students, and participate in departmental seminars and collaborative meetings. You will also be encouraged to attend and present at national and international conferences, with