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Field
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Applications are invited for a Postdoctoral Researcher in Health Modelling, to work with a team working with Dr Ben Amies-Cull on a research programme on the Cities for Better Health: Child Obesity
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adverse cardiac remodeling, including hypertrophy, fibrosis, and inflammation, and assess cardiac function in mouse models of heart failure using: Molecular biology techniques (RNA/protein extraction, RT
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, background in imaging, computational modeling, and molecular biology. Applications, including a cover letter and a curriculum vitae indicating your interest and relevant training should be submitted
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machine learning analyses will be performed to determine correlations across stimulation settings and body systems as well as to develop predictive models and biomarkers for physiological and clinical
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to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field
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, wildfire) Preferred Qualifications: Strong programming skills, or Experience in field measurements (e.g., eddy covariance, chamber), or Modeling skills (e.g., machine learning, process-based models
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, Skills and Abilities: -ImageJ and Matlab. -Expertise in biosensors or protein design -Familiarity with genetic model organisms, microscopy, and other appropriate laboratory and/or technical equipment
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. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate will lead the development of a V&V framework for AI-augmented perception systems and will be responsible
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reviewed journals demonstrated experience in mineralogical analysis using XRD, XRF and chemical procedures experience in geochemical modelling in aqueous systems is highly desirable skills and abilities