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quantitative analysis using gas and liquid chromatography-mass spectrometry instruments, conduct research on screening and non-targeted identification of PFAS with high resolution mass spectrometry instruments
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the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab. Since its founding in 2002
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, benefits-eligible appointment for one year, with the possibility of renewal based on performance and funding availability. Design, implement, and evaluate LiDAR-based experiments in lab and real-world
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) invites applications for the role of Research Fellow with the Heat Resilience & Performance Centre (HRPC), Yong Loo Lin School of Medicine. The HRPC is a first-of-its-kind research centre, established at
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-performance computing (HPC) resources. Expert Mentorship: Be integrated into Simula’s dynamic, inclusive, and highly collaborative research community, where researchers at all levels work as colleagues. Career
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for PostDocs. Generous Resources: Dedicated funding for conferences, equipment, and international research visits. You will have full access to Simula's high-performance computing (HPC) resources. Expert
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productive manner. Knowledge of legal implications in clinical practice and documentation. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan
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leader in the research project - “Research, design, and manufacture of high-performance, fast-customizable next-generation AI-driven golf balls”. Qualifications Applicants should have: (a) a recognised
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university education and PhD in psychology, neuroscience, computer science, or a related discipline (with preferably above-average academic performance) advanced expertise in at least one of the following
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the performance of biobased additive/modifiers for asphalt binders and lubricants, research the separation process to produce high boiling FPO fraction, analyze their mechanical properties, and assess