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Field
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multi-model large ensemble datasets under the Regional Aerosol Model Intercomparison Project (RAMIP), the Researcher will help quantify the role of aerosols—relative to greenhouse gases—in shaping
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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications
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dynamical models from data a productive and collegiate attitude to working in diverse interdisciplinary teams. Pre-employment checks Your employment is conditional upon the completion of all role required pre
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to optic nerve degeneration. Our research spans cutting-edge imaging technologies, drug discovery from small molecules to gene therapy, metabolomics, and experimental models ranging from human neurons
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on developing phase-field models for modeling the templated grain growth and piezoelectricity of ferroelectric piezoelectric crystals and work with other experimental groups in the to be funded ONR MURI project
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interdisciplinary team, you will break new ground at the absolute frontier of what is possible. Responsibilities Your overall focus will be to evolve and then engineer non-model autotrophic bacteria for expanded
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, modelling, optimization and validation, and focus on: Develop thermally integrated storage and conversion systems, including Carnot batteries and/or high-temperature heat pumps based on power cycles. Design
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The Andlinger Center for Energy and the Environment at Princeton University seeks applications for two interdisciplinary postdoctoral research or more senior research positions to analyze and model
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and datasets • Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term