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FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Phd in Physics, Materials Science, Electrical Engineering, Photonics, or a similar field. Expertise in epitaxy is a must. Expertise in at least one of
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denoising techniques, analysis of visual and cognitive experiments, and/or related computational modeling work. For additional information on the position email kay@umn.edu. Duties and Responsibilities
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collaborates with other fields such as chemistry, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology. The Department of Neuroscience is
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. Analyze complex imaging data using quantitative and computational approaches. Collaborate with a multidisciplinary team of neuroscientists, optical engineers, and data scientists. Present research findings
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that adhere to University policy. Assist other lab/community members, as needed. Qualifications Required Qualifications PhD in Structural Engineering, Civil Engineering, or closely related field Preferred
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conferences and professional development opportunities 5% document and publish data and code Qualifications Required Qualifications: · PhD in hydrology, soil science, environmental engineering, or
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, Epidemiology, Computer Science, or related field -Highly qualified and motivated investigator (PhD, or MD/PhD) Preferred Qualifications: -Experience in statistical methods and analysis using SAS, R, or STATA
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, neurodegenerative conditions, and other diseases. We seek candidates with expertise in one or more of the following areas: mathematical modeling, differential equations, stochastic processes, scientific computing
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hearts Assist with human heart anatomical studies and imaging and developing high resolution computational models and 3D printed models to be used for device testing Work under general supervision but is
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 10 days ago
2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number KSN-2/2026 Is the Job related to staff position within a Research Infrastructure? No