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Field
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design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with
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algorithms, preferably in the domain of QC, such as QAA and QAOA Experience in cloud computing and building cloud computing infrastructure Interest and/or experience in developing and conducting lectures and
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Science, Information Science, Data Science and Artificial Intelligence. We employ over 200 people in four divisions: Artificial Intelligence & Data Science, Algorithms, Interaction, and Software. The atmosphere is collegial and
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep
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1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society . The Department of Theoretical and Computational Biophysics headed by (Prof. Dr. Helmut Grubmüller) is
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application from qualified women. About the position The position involves both teaching and engaging in innovative research projects on tractor autonomy, path-planning algorithms, soil compaction modeling, and
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beginning May 2025 to conduct research under the supervision of Prof. Nick Laneman and collaborating with other leading faculty in the ND Wireless Institute and SpectrumX, the NSF Spectrum Innovation Center
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on the modelling and optimisation of PRO systems using advanced Computational Fluid Dynamics (CFD) and Machine Learning (ML) techniques. This role offers an exciting opportunity to contribute to cutting-edge
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algorithms and program Building Automation System (BAS) computers in close coordination with the Director of Systems/Energy Engineering. Modify existing, and create new BAS object definitions, based on control
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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence