319 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United Kingdom
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(Violence, Health & Society) Consortium, a UK Prevention Research Partnership–funded initiative focused on reducing violence-related harms through high-quality data analysis and rapid evidence generation
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activities, adapt existing and develop new scientific techniques and experimental protocols, test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as
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activities, adapt existing and develop new scientific techniques and experimental protocols, test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as
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-scale around the Arctic, in addition to the behaviour of the region¿s marine terminating glaciers using optical, SAR, DEM and/or altimetry data. This work will help address research questions related
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, data-limited, and dynamically evolving environments. Applications include complex engineered systems such as intelligent communication networks, distributed computing platforms, and quantum-enhanced
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analysing visual or multimodal data, and a strong theoretical understanding of ethnography and critical disability studies or critical autism studies. Applicants should also have experience in designing and
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a relevant field and have relevant background knowledge in omics data generation, genome engineering, 3D genome, and computational biology. This is a hybrid wetlab and computational position, and the
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking
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models. These models will leverage both imaging data and corresponding radiology reports during training to build comprehensive representations that capture the rich, complementary information contained in