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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | 2 days ago
, France, The Research Institute for Environmental and Occupational Health (IRSET ) is a large inter- and multidisciplinary research center on environmental and work-related risks in the field of public
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the Role: The successful candidate will benefit from the chance to lead and take part in experimental physics research of the HISPEC/DESPEC project at one of the foremost accelerator facilities
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). ----------------- Although it is not essential, experience or knowledge in some of the following areas will be positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools
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environmental pathogen detection and who has experience in wastewater analysis. About the position You will be part of the Swedish Environmental Epidemiology Center (SEEC) within the Division of Microbial Ecology
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science, or closely related previous sufficient experience/education in the following areas: ecosystem services, risk assessment, ecological/environmental data analysis and modelling, soil biology Informal
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language intervention (Chatterbox) to boost language outcomes in 2-3 year old children at risk of language difficulties. This study is led by Dr Vic Knowland with Dr Faye Smith, Professor Cristina McKean
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characteristics (sex/gender, education, income), lifestyle factors, and prodromal biological risk factors for neurodegenerative diseases. Outcomes could be diagnoses of mild cognitive impairment, dementia, and/or
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at higher risk offered PSA blood tests which are not definitive. Our research aims to develop an image-based approach to screening, combining PSA testing with MRI to better identify aggressive cancers
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, and Blood Institute (NHLBI). The goal of the study is to better understand the behavioral and biological risk factors for heart disease, with a particular focus on how stress and resiliency can
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and disease risk factors Investigate new approaches in the analysis of large neurophysiological datasets We are seeking a highly motivated candidate with: A strong master’s degree in psychology