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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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: Your role at the lab is to investigate the behavior of individual molecules and bio-molecular condensates in living cells. You will use and develop the imaging and computational methods that to visualize
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software to set up and compute the orbits of hundreds to thousands (i.e., lots) of particles on his computer or the Penn State ROAR supercomputer, and to record details of close encounters between particles
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REQUIREMENTS: We are seeking two highly motivated undergraduate research assistants with strong interdisciplinary interests in data science and artificial intelligence. Ideal candidates should have foundational
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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: Penn State College of Agricultural Sciences, Plant Science seeks to hire a part-time research support assistant to provide assistance to Dr. Ruairidh Sawers and his work group in performing
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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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are open to students in any degree program and at any level (undergraduate, professional or graduate programs) or previous students needing experience, such as those staying on optional practical
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research experience in astronomy, astrophysics, physics, or a related field - Prior experience with computer programming The selected candidate will report to Dr. Jason Wright. Applications will be reviewed
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, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics, machine/deep learning