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(3) Machine Learning (ML) approaches that improve determinism and predictability across IBF and APPF processes. This position supports an integrated program encompassing advanced control for IBF, APPJ
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with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are essential for effective
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. This full-time research-training position is designed for individuals who have completed a bachelor’s or master’s degree and want to gain intensive research experience before pursuing a PhD, MD/PhD, or a
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collection, processing, and transmission relative to the available harvested energy budget, accounting for the irregular, low-frequency signal environment of knitted textile systems. Develop efficient edge
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technologies for applied and fundamental physics within a dynamic and inclusive environment. You will be responsible for: Hands-on research work Independent leadership of scientific projects Supervision of PhD
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these principles, the programme aims to transform our understanding of how tissues form, adapt and become disordered, laying the foundations for predicting and ultimately controlling these processes. You will
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cutting-edge research and assist in the day-to-day operation of the laboratory. This postdoctoral appointment will work in the following areas: Conduct fundamental research in the areas of: Plasma
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learning opportunities and gain experience. · Contributing to the creation of an environment that promotes growth, equality, and freedom of speech. Non-teaching time will be dedicated to scholarly
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contract About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria A PhD in a relevant subject. Having supervised at least two
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15 Jul 2026 Job Information Organisation/Company Humboldt-Universität zu Berlin Department Physics Research Field Physics » Other Researcher Profile Recognised Researcher (R2) Positions PhD