420 evolution "https:" "https:" "https:" "https:" "https:" "https:" "ISCTE IUL" "ISCTE IUL" Postdoctoral research jobs in United Kingdom
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are invited for a post-doctoral research associate position to work on the development and application of ab initio computational methods for simulating actinide X-ray spectroscopies. Ideal candidates should
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Location: South Kensington About the role: The recent development and approval of new vaccines and monoclonal antibodies against RSV mark an exceptionally exciting moment in the fight to prevent
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This position combines infrastructure building, method development, and hypothesis-driven research, offering the opportunity to shape a flagship biodegradation platform at the interface of Biotechnology and
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experiments in gelatine (https://doi.org/10.5194/egusphere-egu25-9211). This model will be tested with analogue experiment results from the MAGMA Lab, run by other members of the project team. The second
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allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular data, including biomedicine and drug discovery
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Applications are invited for the position of Post-Doctoral Research Associate to work on an ESRC-funded project investigating asylum accommodation in England (https://peripheral-asylum.com
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support the research and development of a new generation of light source based on gas-filled hollow fibers. Despite the rise of novel nonlinear materials, the generation, control and application of light
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reflect prostate cancer development and progression in Black men. Using advanced gene-editing techniques, spatial characterization of prostate tumoroids, and next-generation sequencing, we will identify and
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data from a recently completed clinical trial (https://www.nejm.org/doi/full/10.1056/NEJMoa2408114 ), you will build and evaluate multimodal machine learning models that integrate these data to predict
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development of uncertainty quantification techniques for the learnt