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Description The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz ) in the Division of Engineering, New York University Abu Dhabi, is seeking a highly motivated
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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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growth by metalorganic vapor phase epitaxy and developing AI approaches for deterministic synthesis to achieve n- and p-type conductive AlN and related UWBG Al containing alloys. Doping and processing
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for seizure detection. These algorithms will be implemented on a spiking neural network (SNN) processing unit deployed on FPGA and custom-designed chips with an integrated detection mechanism. Research area and
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. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered
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, mathematical approaches to signal analysis, information theory, structural biology and image processing. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with
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://doi.org/10.1101/2023.10.31.564945). In this project we will develop this idea into a prototype and then into a stable open-source microscope for the community. Further information about the Ries lab
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, Gemma, Mistral AI, and others. Multimodal Learning Experience: Demonstrated experience in integrating and processing multiple data modalities (text, audio, video, images) using AI/ML techniques
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-level programming, developing prototype implementations, and evaluating their research in testbed experiments. An interest in generating real-world impact and collaborating with the industry. Excellent
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process, and subsequently implement this infrastructure on top of an existing cloud infrastructure. You will play a key role in the project's development, ensuring technical tasks and teams work together to