324 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" Postdoctoral positions in United Kingdom
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. The position will require a good working knowledge of radio interferometric observational techniques and/or a good understanding of optical spectroscopic survey data to understand galaxy formation and evolution
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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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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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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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-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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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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Biology Research Institute / Unit Information The MRC Laboratory of Molecular Biology (LMB) is one of the birthplaces of modern molecular biology and has played an important role in the development of many
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well as interpreting multi-omics datasets. The role will therefore require state-of-the-art skills and confidence in wet-lab research, data analytics, and oral and visual communication. This is a full time 35 hours per
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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