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degree in atmospheric science, earth science, environmental science, chemistry, physics, or a related discipline (obtained prior to the PhD start date) The candidate will have experience in atmospheric
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chemistry. Practical experience in one or more of the following areas: Radiochemistry or radiopharmacy Cell biology and cell culture techniques Protein or peptide chemistry Preclinical in vivo research
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skills (evidenced by high grades) are required Prior research experience in problems related to fluid mechanics, structural vibrations, model reduction or control is expected Experience in nonlinear
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Biosciences (D-CHAB). Profile Applicants with a Master's degree should have a strong background in experimental chemistry, ideally with experience in physical and/or organic chemistry, and a keen interest in
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partners, combining theoretical modeling, device design, and ultrafast THz experiments. Project background This project will combine advanced numerical modeling with experimental demonstrations
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of Greenhouse Gases group at ETH Zürich is actively recruiting a highly motivated and creative PhD candidate with a strong interest in low temperature experimental geochemistry. The position is part of a newly
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question The following would be a plus: Practical experience building with LLM APIs, open models, evaluation pipelines, orchestration frameworks, and related tooling. Familiarity with model adaptation, fine
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candidates should possess several of the following: Excellent academic record Strong quantitative and analytical skills Experimental laboratory experience (e.g., biomedical engineering, neuroscience, chemistry
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macroeconomics and political economy The dissertation topic will be developed jointly with the supervisory team. We aim to identify a project that connects with the doctoral researcher’s interests, experience and
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and a genuine interest in applying AI to real-world healthcare challenges are required. Prior experience integrating Large Language Models (LLMs) into applications, including prompt engineering, API