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and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The ability to collaborate in a multidisciplinary
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codebases. A strong track record in machine learning or closely related fields Excellent written and spoken English Ideally, the candidate also: Has experience in energy system modeling and optimization Has
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during the course of their PhD and are interested in switching to security The ideal candidate will have: A strong track record demonstrated by publications in top venues in systems security Strong writing
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of phosphoinositide 3-kinase (PI3K) signaling in allergy, metabolic control, obesity, diabetes and cancer; see https://p3.snf.ch/project-189065 ii) developing and validation of novel chemical probes and degraders
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or projects) Experience with high-frequency transport experiments at low temperatures Proficiency in computer-based data acquisition and processing (e.g., Python, C++, LabView) Proven track record of high
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of other Postdoctoral Fellows / PhD Students in different campaigns Where to apply Website https://apply.refline.ch/673278/3948/index.html?lang=en&cid=1 Requirements Research FieldChemistryEducation LevelPhD
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responsibilities The Kim Laboratory at the École Polytechnique Fédérale de Lausanne (EPFL) (https://www.epfl.ch/labs/upkim/ ) is seeking a highly motivated postdoctoral researcher to investigate how neuronal
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health. Excellent researck track and publication record are important. Good communication skills, enthusiasm, scientific curiosity, good organizational skills, rigor in experimental work and high level of