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Field
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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges
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and related software packages, including R, SAS, Python or equivalent. Preferred Qualifications Education: No additional education unless stated elsewhere in the job posting. Certifications/Professional
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
to environmental studies, with experience in the research topic, preferably with an international scope. Data analysis and modelling, handling of statistical software (R software, Python or equivalent). Proved
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the use of data-informed pedagogical practices. Core Responsibilities • Develop theory of change, conduct literature reviews, and design IRB-approved, mixed-method empirical studies to examine the impact of
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isolation systems, PCR machines, autoclaves, Apple computers, Windows PC’s, electrophoresis equipment, and image analysis software such as Image J. Physical Demands and Work Environment Able to stand, lift
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. Apply and refine implementation science frameworks to public health programs addressing HIV, HCV, substance use disorder and homelessness. Participate in interdisciplinary projects that examine how policy
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development and testing Collect, interpret, and analyze data, compile results, prepare reports, and present their conclusions. Writing research results Provide written reports of research progress and findings
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conflict has had on two distinct societies within the UK through an examination of the ‘Troubles’ in Northern Ireland and the 1984/85 miners’ strike in the Midlands and Northwest of England. How the legacy
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. The survey will examine how household structure, social demographics, and neighbourhood design influence walking and cycling behaviour. Qualitative fieldwork: conducting and analysing walk-, scooter-, and bike