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Field
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of extracting, processing, and characterizing biopolymeric materials derived from industrial by-products for high value-added applications in biomedical and tissue regeneration areas. This will involve
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machine learning with applications in science. The aim is to develop novel machine learning and other data driven AI methods for scaling up and improving scientific processes beyond what humans can do, for
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range Adapt codes using these lines to subtract the stellar activity signal as accurately as possible Test these codes on a diverse set of M dwarf data from HARPS/NIRPS and SPIRou/SOPHIE Analyse and
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foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you. It is considered
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must comply with the provisions of Portuguese legislation regarding the recognition of foreign degrees. For those purposes, the requirements described in point no. 11 of this public notice must be
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knowledge in arithmetic, algebraic or complex dynamics. Informal enquiries can be made by contacting Holly Krieger at hk439@cam.ac.uk. If you have any queries about the application process, please email
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to demonstrate strong proficiency in robotics, embedded systems, and real-time signal processing, with a track record of research publications in human–robot interaction, rehabilitation robotics, or related areas
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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: Strong background in communication theory, signal processing, and wireless communications Proven track record of publications in relevant IEEE journals and conferences Extensive experience in physical
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areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage. Familiarity with HCI principles