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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems
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and algorithms in the lab for processing and visualizing proteomics data using the FragPipe and FragPipe-Analyst platforms. The successful candidate will collaborate closely with other lab members
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to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and
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algorithms, models, and techniques. - Perform rigorous benchmarking and evaluation of the developed models. - Optimize algorithms for efficiency and scalability. Collaboration & Mentorship - Work closely with
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EmoRoom (Emotion + Classroom), an interactive visual analytics system to analyze and summarize student emotions from classroom videos, using emotion recognition algorithms and intuitive visualizations
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algorithms, bioinformatics, computer vision, human-computer interaction, machine learning, computer graphics and VR, cyber-physical systems, computer networking, and cybersecurity. Required materials include a
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advanced deep learning algorithms for generative modelling and large multimodal models. Candidates are expected to have a strong background in relevant areas Job Responsibilities: To independently undertake
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: 117895-en_US We are seeking a Sr. Radiomics and AI Engineer who will be responsible for developing and implementing algorithms and software that can analyze medical images and extract clinically relevant
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This position is ideally suited to someone wishing to transition from a post-doctorate career in academia to commercial software and algorithm development. You are not expected to be an AI expert
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the Paradoxical Aspects of Measurement in Quantum Systems". This project leverages foundations to pave the way for the novel quantum protocols, algorithms, and technologies of the future. You will work closely with