48 parallel-computing-numerical-methods research jobs at Pennsylvania State University
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presenting at seminars and national conferences Assisting in lab management and supervision of junior members Developing new research methods and contributing to other projects in the lab Qualifications: Ph.D
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/ Cellular Imaging: Candidates with hands-on experience in cryo-electron microscopy–based methods, including high-resolution single-particle reconstruction and/or cryo-electron tomography with FIB-SEM
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who have an interest in research or creative activities are encouraged to apply! Candidates must be highly motivated, have a high potential to contribute to research activities, and have basic computer
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platforms and attention markets Assist with statistical, computational, and text-based analysis Maintain reproducible workflows and support research summaries, pilots, and writeups Required Qualifications
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field at the time of appointment is required. The successful applicants will be expected to have a strong statistical and computational background, research experiences showing independence and innovation
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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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REQUIREMENTS The Department of Behavioral Health is seeking applicants for a part-time job of Research Assistant. Job Duties will include comparing different computational tools to estimate copy number
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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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examining Penn State’s reusable container program. This position is supported by an HHD Sustainability Research Grant. The research assistants will work closely with the faculty supervisor and assist with
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on-site or remotely as needed and will gain valuable experience on an interdisciplinary project that bridges computer science and learning science. Preferred Qualifications Technical Skills: Familiarity