104 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Pennsylvania State University
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mechanisms underlying neurodevelopmental disorders using mouse models. The research program in the Girirajan laboratory focuses on integrating family-based genetic studies with quantitative functional
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engineering discipline or a related field. Preference will be given to candidates with strong written and oral communication skills, excellent computational skills, and substantial experience with programming
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the MORE Lab offers a rare opportunity to help build a research program from the ground up. As a founding member, the postdoctoral scholar will play a central role in shaping the lab’s scientific direction
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to funding agencies and Penn State seed programs. o Co-supervise graduate students and undergrad students. o Prepare manuscripts for publications and research reports to sponsors. The final candidate must have
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; Engineering; Humanities and Social Sciences; and Science); student residential living; a range of research programs and outreach centers; and a highly successful business and technology park. With 5,000
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engineering practices Software programming, programming languages, and development environments (to include at a minimum C, Java, or Python) Ability to express technical information clearly and concisely in
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Coordinator will also support a NIMH-funded study in the CaRES lab, investigating the efficacy of the Building a Strong Identity and Coping Skills (BaSICS) program, a group-based, team-building coping and
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REQUIREMENTS The John and Willie Leone Family Department of Energy and Mineral Engineering at Penn State seeks motivated graduate students to join our research programs as Graduate Research Assistants. Students
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problems. Research experience with a track record of published work in relevant scientific journals. Excellent communication, teamwork, and problem-solving skills. Proficiency in programming languages
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Computer Science and Engineering, Electrical Engineering, or a related discipline. Strong understanding of formal methods, embedded systems, and low-level programming languages (e.g., C/C++). Solid knowledge