10 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"U.S" Postdoctoral positions at Pennsylvania State University in United States
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career plan. Upload as Name_SURNAME_SOP.pdf . This document must be composed of three sections: 3.1) Background: Expertise and skills. 3.2) Research Interests: Research intentions and goals
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methods, stochastic control processes, dynamic programming, deep reinforcement learning. Strong track record in scientific contributions supported by peer-reviewed publications. Strong programming skills
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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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relevant to our research program by the time employment starts. The individual should be self-motivated and is expected to lead their own individual projects, as well as contribute to collaborative research
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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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. These teaching roles will primarily support instruction in one or more of the following programs: Lifelong Learning and Adult Education Workforce Education and Development Organizational Development and Change
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computational skills, including numerical methods and scientific programming (Python, MATLAB, C++, etc.). Effective communication and collaborative skills. Preferred Qualifications: Experience with wide-bandgap
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electron microscopy, advanced image analysis and programming (e.g., scripting in Digital Micrograph, Matlab/Python). This full-time position is available as early as fall 2025, for a period of one year with
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for the program. While the RTP team primarily operates remotely, this role includes some required travel and in-person engagement to support relationship-building and policy engagement efforts. The ability
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publications in peer-reviewed journals, demonstrating a commitment to scientific excellence and innovation. Experience with data analysis pipelines, programming (e.g., Python, R), and bioinformatics software