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concerns applied science for and often with public and private partners. Job requirements We are looking for a highly motivated researcher with: A PhD in a relevant discipline, such as urbanism
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supervision where required. For more information regarding the responsibilities for this role, please refer to the Position Description at JOBS@UNSW. Skills and Experience Summary: A PhD degree in pharmacy
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17 Jul 2026 Job Information Organisation/Company Ivo Pilar Institute of Social Sciences Research Field Psychological sciences » Psychology Researcher Profile Recognised Researcher (R2) Positions PhD
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time-of-flight secondary ion mass spectrometry (ToF-SIMS), scanning electron microscopy (SEM), and X-ray diffraction (XRD). Experience in data reduction of big spectroscopy, mass spectrometry, and image
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, electron microscopy, X-ray diffraction, etc.). Methodology: • Design and synthesize model substrates to measure the activity of enzyme mimics. • Develop analytical methods to detect and quantify chemical
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Sciences or related fields, with a PhD in Sciences from a graduate program in Biochemistry or Physiology; experience with white and/or brown adipose tissue metabolism and physiology; handling, breeding, and
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. The successful applicant will work closely with ORI Information Technology (IT), Electronic Research Administration (ERA), and Data & Analytics teams to develop and share best practices, understand available data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. Position Summary The Postdoc Research Associate (PRDA) will work in the Klotsa Lab at UNC Chapel Hill in the field of computational fluid dynamics and soft matter physics. The PDRA will be writing computer
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Veterinary Medicine, Biology, Biotechnology, or a related life sciences discipline. Completed doctoral degree (PhD, Dr. med. vet., Dr. rer. nat., or equivalent) in a relevant field. (Professional) Experience
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop