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tools (e.g., light sheet fluorescent microscopy) and computational approaches to examine cellular resolution details in the whole mouse brain. Moreover, we use systems neuroscience approaches (e.g
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medicine program is a collaborative research effort that offers many opportunities for scientific interactions and advancement. Duties include (but are not limited to): Designing and executing experiments
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field work for the plant disease epidemiology program, focusing on research in field crops like corn, soybean, and wheat. We are a dynamic lab that employs various methods to manage plant diseases
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manuscripts Requirements and Qualifications Current graduate student with at least one-year course work toward a MPH or related degree Strong interest or experience in program coordination Ability to work
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REQUIREMENTS The Mathematics Department in the Eberly College of Science has a vacancy available for a Part-Time Research Assistant/Associate. The selected candidate will work on computational modeling and
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the College of Education, invites applications for a Teaching-Focused Post Doctoral (Post Doc) Scholar position with primary responsibilities in teaching in the Educational Psychology program within the areas
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the...
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learning preferred. Strong experimental and computational skills, with ability to work independently and contribute to collaborative research and publications. BACKGROUND CHECKS/CLEARANCES Employment with
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satisfactory performance. Degree/Field of Study: PhD in fluid dynamics, geomechanics, computational geomechanics by start date with Penn State. Applications must be submitted electronically and include a CV
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education technology. The RA will have the flexibility to work on-site or remotely as needed and will gain valuable experience on an interdisciplinary project that bridges computer science and learning