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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. We are now looking for Two Postdocs in
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includes projects in biomedical instrumentation, experimental hardware automation and programming, and computational science. Scientific publications in a relevant area are considered a significant benefit
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industrial experts. Nice to have: Proficiency in programming languages (Python, MATLAB, or similar software) for data analysis/model automation. Prior industrial collaboration or scale-up project experience
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to their potential for electrical control of quantum phenomena. The ultimate goal of this PhD project is to design of functional multiferroic superconductors by combining superconducting, magnetic, and ferroelectric
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engineering, hydro- and pyro-metallurgy, catalyst and polymeric materials, novel catalytic process, process control and process systems engineering. The Department of Chemical and Metallurgical Engineering at
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networks and enhance stakeholder collaboration for domestic academic visibility. Proficiency in English; good command in Finnish is seen as a merit. Your Vision and Academic Commitment: Supportive
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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will be given to candidates focusing on management accounting. Only tenured Professor candidates (at full or associate level) are considered for this call. Fluent command of English is also required
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problem solving, communication, safety trainings). consult the users in contamination issues and quality control (understanding of cross contamination, approving new processes and materials). participate in