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Field
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Requirements: Applicants whose PhD work included substantial experimental work with a focus on superconductor, semiconductor or hybrid semiconductor-superconductor quantum electronic devices, and microwave
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researchers at Princeton and other institutions, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with
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biosafety level 2 to enhanced biosafety level 3. Minimum Education Candidates should have a recent PhD, DVM, MD/PhD in biomedical sciences with practical experience in immunology (innate and adaptive immune
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after the review date will only be considered if the position has not yet been filled. Position description Applications for the Postdoctoral Scholars are being sought from doctoral (PhD, MD, or foreign
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(e.g., Ph.D., M.D.) or the foreign equivalent is required. The applicant can either have their PhD at the time of the application, or could be working towards the PhD. Application Requirements Document
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pressing challenges. The PIIRS Postdoctoral Fellows Program is integral to that mission. We will award two postdoctoral fellowships to our 2026-27 cohort. PIIRS seeks recent PhDs in the Social Sciences who
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qualifications (required at time of application) Candidates can either have their PhD or MD (or foreign equivalent) at the time of the application or they could be working towards the PhD or MD. Candidates must
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immunotherapy for basic and translational research in the laboratory of Dr. Xue Zhong Yu. A qualified candidate is expected to have a strong publication record and excellent references from PhD or postdoctoral
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opportunities. Required Qualifications • Ph.D. in neuroscience or related discipline. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility
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students. The required qualifications are: PhD degree in mathematics, science, engineering, or a related field by the start date. Extensive experience in one or more of the following areas: probabilistic