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The Ishizuka Lab at Yale Cancer Center is seeking an exceptional and highly motivated postdoctoral researcher to join a collaborative computational-wet lab team working at the intersection of tumor
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related to sensor development and technology transfer About you: Completed academic education including a PhD in Physics or a related field, or equivalent qualifications and experience Extensive hands
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» Materials engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD (third-cycle university degree) in a technical field, such as Materials Engineering, Surface Engineering, or Physics. Proven
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communication and program management skills are required. This position resides in the Carbon Fiber Technology Facility (CFTF) and the work is performed at the Manufacturing Demonstration Facility (MDF) in
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of agentic behavior and publishing high-impact research Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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: A PhD degree in Materials Science and Engineering or a closely related discipline. A strong background in physical vapor deposition and chemical vapor deposition will be a clear advantage. An
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No experience required What is helpful: PhD degree in Chemical Engineering, Process Engineering; Oil and Gas Engineering; Ocean Engineering, or other engineering related field. Experience in Systems modelling and
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following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, social sciences, public policy, or a relevant interdisciplinary area. Interest in
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FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria • PhD in microwave engineering, RF/microwave circuit design and simulation, or radiofrequency material characterization
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Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD or MD in Health Sciences, Data Science/Informatics, Psychology, Cognitive Science, Neuroscience