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Field
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drivers of phenology to inform near-term forecasting of phenology, as well as assisting with other projects to provide research support for the PI. Typical hiring range for this position is $58,000
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experience in real time synchrotron experiments. Preferred Qualifications: PhD in Physics, Chemistry, Chemical Engineering/Materials Science or a closely related field in hand by September 1, 2025. Expert
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experience in real time synchrotron experiments. Preferred Qualifications: PhD in Physics, Chemistry, Chemical Engineering/Materials Science or a closely related field in hand by September 1, 2025. Expert
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, university and department requirements Work Schedule: Varies Driving University Vehicle: No Security Sensitive: This is a Security Sensitive Position. Special Instructions: Applicants must submit a minimum of
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the lab’s research goals; 2) a curriculum vitae; 3) names and contact information of four professional references; 4) a copy of PhD diploma. Review of applications will continue until the position is filled
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of Neurophysiology of the Center for Brain Research is looking for a full-time (40 hours per week) Postdoc position (m/f/x) (from November 3rd , 2025). This is a contract for a duration of 3 years with a possible
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department SPH-School of Public Health
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include securing IRB approval, conducting Q-set analysis, and creating outreach materials. The associate will mentor research assistants, ensuring high-quality work and collaboration across the project
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development. Basic Qualifications: A PhD in computer science/engineering, electrical engineering, data science or a related field completed within the last five years. Experience of AI and efficient computing