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Field
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transmission electron microscopy (TEM/STEM) and/or advanced image-processing techniques; proficiency in programming and in the application and development of software and computational tools for scientific data
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, presence of organic load). 5. Data analysis and reporting Analyze chemical, physical, and biological data using statistical methods and appropriate software. Generate clear, well-structured reports
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initiation latency, movement speed, gait characteristics, postural control, motor variability, and other behavioural descriptors. ESSENTIAL REQUIREMENT PhD in machine learning, artificial intelligence
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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in materials science, nuclear, or mechanical engineering, or a related
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transformations of calcium and lithium carbonates in aqueous systems, with applications to environmental remediation, critical raw materials recovery and sustainable mineral processing. The research will combine
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application process, please visit the Graduate School's website: Doctoral education | University of Vaasa (uwasa.fi) Required: You have a master’s degree or a PhD in a relevant field. Strong proven interest in
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of CAD software to produce models and engineering drawings, with consideration of materials compatibility, fabrication, sealing and assembly. Demonstrated capability in chemical process design for
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scientists wanting to transition from PhD student to junior group leader. It supports young scientists in exploring their own ideas and testing new hypotheses. High-risk, high-gain projects are encouraged
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
department in 1964. We believe that computer science’s greatest purpose is in working with other scientists to solve problems in their own disciplines. Therefore, we actively seek opportunities to generate new
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
department in 1964. We believe that computer science’s greatest purpose is in working with other scientists to solve problems in their own disciplines. Therefore, we actively seek opportunities to generate new