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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
therapeutics. Position Overview: We are seeking multiple highly motivated Postdoctoral Research Fellow with expertise in systems pharmacology, machine learning, and/or data science to join our interdisciplinary
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, with opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised
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will lead regional modelling analysis and apply machine learning methods to improving knowledge of drivers of high latitude fires, help produce high latitude fire scenarios for a range of future warming
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evaluation of real-world simulations testing the use of drones to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999
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, description and curation of information in multiple formats, with a focus on handling digital content and metadata; conduct training sessions aimed at empowering users in the domain of information literacy
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. Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry out the project as detailed. It is essential that applicants have excellent
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in the development, validation, and optimization of 3D-printed modular floating structures. This includes conducting hydrodynamic analysis, finite element modeling, and stability assessments, as
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materials integration, nano-enabled coatings and multifunctional composites. The main duties foreseen are: Design, synthesis and optimization of Cu-Metal-Carbon interfaces in copper based nanocomposites
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: Management of large datasets across multiple courses and academic years. Conduct the required data analyses to test the hypotheses outlined by the research team, including Hierarchical Linear Modelling and
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experience at the time of application; (b) have experience in InSAR applications for landslides and reclamations, PolSAR/PolInSAR for vegetation mapping, finite element analysis, numerical simulation, machine