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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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8 Aug 2026 Job Information Organisation/Company Itä-Suomen yliopisto Department The Faculty of Science, Forestry and Technology, Department of Technical Physics Research Field Physics Engineering
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and coastal dynamics, and multi-physics systems (eg, wind–structure interaction) . About Us The newly established Chair of Computational Methods in Civil and Environmental Engineering develops advanced
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. Furthermore, you meet the following requirements: You hold a PhD degree in Materials Science and Engineering, Physics, Chemistry, or a closely related discipline. You have a strong expertise in atomistic and
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Research Engineer or Postdoctoral Researcher (m/f/d) in the field of Engineering Physics or Material
engineering A completed Master’s degree or PhD in Engineering Physics, Materials Science, Engineering or a similar discipline The ability to work independently, a willingness to learn, and a team spirit Good
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partners on patient cohort studies that put new methods to the test Lead first-author publications, present at major conferences, and help mentor PhD and undergraduate trainees in the lab Qualifications
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work and documentation and presenting data, results and method development internally and externally, both in written and oral presentations Supervise master’s and/or PhD students to a certain extent
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FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications Core competencies: • PhD in operations research, applied mathematics, industrial engineering, or related fields • Strong
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for periodic systems. The postdoc position is for two years. The starting date is negotiable but should preferably be 01.11.2026. Job requirements PhD in Chemistry, Physics, Materials Science, or a related
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that influence human interaction and learning. While multimodal systems are already being developed to monitor physical and cognitive engagement, current approaches offer limited interpretability and often do not