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Field
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that can inform and enable such concepts, for example in autonomous operations, scientific data analysis or intelligent payloads; benefit from, and contribute to, the technology and engineering expertise
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 months ago
into veterinary medicine and animal health. You will support and advance ongoing One Health projects; conduct independent research (study design, data collection/analysis, publications); lead and coordinate project
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software for the analysis of both population-level and individual-level data, to enable personalized health recommendations based on dietary patterns, behaviors, and diet-associated biomarkers. We aim
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and transcriptional regulation, Imaging and large-scale data analysis/Bioinformatics, and Epithelial biology. Required Qualifications: Ph.D. (or equivalent) in Molecular Biology, Cell Biology, or
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Anschutz campus. More information can be found on the Fantauzzo laboratory website (http://www.fantauzzolab.org). Key Responsibilities: · Read and incorporate findings from relevant scientific
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, combining biomechanical realism, synthetic data generation, and privacy-preserving visualization within a single framework, to enable both clinical assessment and secure, long-term home monitoring. You will
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motivated Postdoctoral Researcher to contribute to the development and implementation of the ROUTES' monitoring and design evaluation framework, its comparative data analysis, and the ROUTES Atlas co
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movements Experience working with Twin Cities-based nonprofits and neighborhood organizations Experience writing up research results for publication Experience with data visualization software
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morphodynamic models AND/OR proficiency and experience in coastal/nearshore field data collection and analysis. Strong written, oral, and visual communication skills. Good understanding of coastal sediment
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, Licensure/Other Credentials Preferred Qualifications Knowledge/Skills/Abilities Communicate clearly and effectively. Experience of Electrochemical data collection and analysis – deconvoluting polarization