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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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flow cytometry, imaging, cell sorting, and next-generation sequencing, in conjunction with innovative mouse and stem cell models. In the Han lab, you will gain hands-on experience with these techniques
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has contact with future and current students. Contact with staff members of academic departments concerning issues or problems that may require assistance. Public contact may take place on a walk in
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‑electron tomography (cryo‑ET) to study in situ amyloid deposition and amyloid–cell interactions in experimental models and human tissues. This project is part of the BE.Amycon VIB Grand Challenges initiative
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medicine teams. Participate in after-hours coverage (current call model is 1:4), sharing the weekday and weekend responsibilities in a small, high-performing team. Actively contribute to research and
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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
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focus is on advancing the state-of-the-art in generative modeling and applying these advances toward developing more capable biotechnologies, including the design of more evolutionarily resilient
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. Perform other duties as assigned. Required Qualifications Currently enrolled in or entering a graduate program in a Higher Education, Student Affairs, Educational Leadership, Communications, or another
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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, control, fault detection and maintenance requires accurate models of every component which need to update with real-time measurements from the components creating a Digital Twin of the wind generation