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environmental health sciences, epidemiology, or related field Experience with modeling and exposure estimation of ambient air pollution Experience working with large datasets, including electronic medical record
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and in vivo imaging modalities using state-of-the-art animal models for cancer research. The post-doctoral researcher will work on a large, FNR CORE-funded project aimed at exploring the complex
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personnel management of a large area of responsibility. The requirements for appointment are a university degree in medicine, recognition as a specialist in the field of orthopaedics and trauma surgery
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tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
. This is enabled by a dedicated farm-based infrastructure with large-scale measurement of methane emissions and feed intake on individual cows, as well as collaborations with industry and international
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: Documented skill in quantitative laboratory-based analyses of environmental variables relevant to the department's activities (including the entire measurement chain from sample collection to data analysis) is
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manuscripts. Qualified candidates are researchers who are already exploring how data science can be merged with clinical trial methodologies in the context of a multi-site health system to facilitate large
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data is a strong asset Development of ShinyApps Experience with data management of large scale datasets Knowledge of immunology is a plus What we offer Full-time position - We will initially start with a
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to foster a diverse, innovative, and flexible work environment. Guided by a bold strategic vision, the School is committed to leading advancements in AI/Data Science, Biomedical Technologies, Cyber Security
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experience in computational biology, with a focus on integration of large data sets/multiomics to answer key questions and generate novel hypotheses Strong proficiency in relevant programming languages such as