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cells with greater precision, persistence, and safety, using synthetic biology, molecular immunology, and translational models. Led by Dr. William Gibson, the lab is based at Dana-Farber and Harvard
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Maria de Maeztu . All positions are funded for up to 3 years. The three scientific profiles are as follows: Position in Beyond the standard models of cosmology and particle physics Position in
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(DPPs) as a key enabler of circular business models, aiming to reduce CO₂ emissions and improve resource efficiency through enhanced data-driven lifecycle management. A DPP can be viewed as a structured
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system near 1.9 microns. In both projects, the successful applicant will be responsible for synthesizing modeling and experimental data analysis and drafting high-quality manuscripts for publication
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theoretical framework that will drive strategic improvements across CSCs. This research seeks to systematically explore the shared foundations of existing models related to risk, resilience, and sustainability
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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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of Oslo. Job description A fully funded PhD position is available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian
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be very close to completion, in ML, statistics, meteorology, climate science, physics, or related fields. He/she will have substantial experience with ML, or with weather forecasting models. Essential
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comprising chemists with expertise in organic chemistry, reactor design and innovative process analytics, and engineers with skills in fluid modelling, Life Cycle Assessment and sustainability. You will
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society from analytical and empirical perspectives. The NOMIS Fellowship Program supports groundbreaking research projects related to how images act as models or paradigms in scientific and aesthetic