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of promising nanoagents. The objective of this doctoral project is to develop an innovative method for sensing and quantifying the hotspot effect in aqueous suspensions of optically absorbing nanoagents, without
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are not limited to: Learn research techniques to develop algorithms and models for the simulation of field data Participate in experimental activities such as research design, data collection, technical
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by developing a general mathematical theory of symmetries in BP and efficient algorithms for symmetry detection and exploitation. While the related field of mixed-integer programming (MIP) primarily
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intelligent transportation systems (ITS), with an emphasis on developing and deploying state-of-the-art Large-Language Models (LLMs), Vision-Language Models (VLMs), and Vision-Language-Action (VLA) models
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for the Advancement of Surgery) initiative. The Research Associate will be responsible for developing machine learning algorithms and creating predictive models. The ideal candidate must demonstrate a robust background
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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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, understand the design and development decisions that propagate social biases, and develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias detection tools
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: *Back-end Java development *Front-end UI development *Signal processing algorithm development This position will work on all phases of software application development ranging from requirements gathering
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leader Prof. Hiroaki Kikuchi, Meiji University) aims to develop innovative data privacy technologies. A post-doctoral researcher who engages in the following studies is now open. https
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in LIBS systems.; • Develop algorithms for correction and compensation of galvanometric scanning, ensuring accurate spatial correspondence of LIBS data.; • Implement automated pipelines for LIBS data