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developing new inverse modelling (‘retrieval’) methods to extract 3D information from JWST secondary eclipse observations. The models will be applied to JWST observations of giant transiting exoplanets
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students. SPS is responsible for the research training of over 120 PhD students. SPS is research intensive with internationally recognized expertise in Human Factors, Mathematical Psychology, Industrial and
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Fixed Term Contract for 24 months We welcome applications from passionate and skilled post-PhD or experienced researchers in malacology, epidemiology, schistosomiasis modelling, or spatial data
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you will need: A PhD in Quantum Physics, good knowledge in the Physics of Quantum devices. Demonstrated knowledge and experience in Advanced Physical Models such as the ones typical used in Many Body
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diversity acting as a role model and fostering an inclusive working culture. Person Specification PhD (or near to completion) or equivalent in microbiology or immunology First author publications in peer
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German Center for Diabetes Research (DZD) and the TransCampus collaboration with King's College London. We analyze large clinical cohorts and experimental models to unravel disease mechanisms and identify
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linked diseases at the molecular, cellular, and whole animal levels. The successful candidate will work in close collaboration with the laboratory of Elizabeth Lipke, PhD in the Department of Chemical
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regular team meetings Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods as