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schools, doctoral supervision, and software outputs central to the Centre’s mission. About You You will have, or be close to completion of, a PhD/DPhil in Statistics, Machine Learning, Data Science, or a
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laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science, Robotics, Mechatronics
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Postdoctoral Research Associate who will primarily contribute to the project. The successful applicant will be ideally educated to PhD level in Computer Science, Artificial Intelligence, Software Engineering
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of the microgrid ii) develop the optimal sizing method for microgrid using programming software like Python or Matlab, implement it for case study areas, and iii) prepare research reports and contribute to project
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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Springmann, you will develop and apply global food-system models, integrating data and methods from across disciplines to assess pathways towards healthier and more sustainable diets. You will contribute
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Christiane Timmel for a period of up to 12 months. The project involves the development and application of novel optical detection methods for magnetic field effects in proteins (especially cryptochromes and
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igneous petrology and geochemistry of rocks from Mount Paektu and associated its basaltic volcanism. Paektu/Changbaishan borders the Democratic People’s Republic of Korea (DPRK, the formal name for North
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primary task as a postdoc is to conduct research into various quantum algorithms and optimization methods, both on the theoretical and the practical implementation aspects. You are expected to take an
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. Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations 2. Good numerical skills 3. Experience in field-theoretical methods (e.g. supersymmetry) 4