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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
computer calculations, and numerical modeling. Special Physical/Mental Requirements Campus Security Authority Responsibilities Not Applicable. Special Instructions Quick Link https://unc.peopleadmin.com
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., • Interest in developing risk prediction models via deep learning/machine learning. • Have strong background in DL, EEG data and programming for the implementation of proposed methods. Apply now
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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, robust event detection, and modeling shifts across sessions and users. Job description Develop machine learning pipelines for time series processing with a focus on event detection and real-time
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Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences
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(Fly) and vertebrate (Fish) model organisms. The successful candidate will combine strong technical expertise with leadership skills to design, implement, and scale ExM approaches, while also
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, or as soon as possible after that. The Department of Electrical and Computer Engineering is organized into sections. The position is anchored in the "Signal Processing and Machine Learning" section [1
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faculty fellows to create programming aligned with quad themes and goals. May teach a .5-credit course (e.g., first-year seminar or reflective advising course) as part of the residential experience