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Postdoc in Machine Learning for Oligopeptide Design (1.0 FTE) (V24.0584) « Back to the overview Job description The advent of modern machine learning (ML) methodology is accelerating scientific
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field (on starting date) Sound knowledge in at least one of the following areas: Inverse problems, optimization, calculus of variations, machine learning, magnetic resonance imaging (depending
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equations, networks, data assimilation, systems biology, rigorous numerics, mathematical neuroscience, inverse problems, numerical analysis, and systems with multiple scales. We are an inclusive
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Information Position Title: Postdoctoral Associate, Mathematics Department: Mathematics Posting Link: https://www.ubjobs.buffalo.edu/postings/54003 Job Type: Full-Time Posting Detail Information Position
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temperature and water vapor profiles, or surface temperature. We search for the solution of an inverse problem, and we want to use a neural network model for this task. Our group has been using this type
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modeling and machine learning approaches for forward and inverse problems in radiation and fire research. The research associate will be responsible for simulation-based analysis for object detection methods
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13 Mar 2025 Job Information Organisation/Company INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION Research Field Astronomy » Astrophysics Researcher Profile Recognised Researcher (R2
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and prototype imaging system design Excellent programming skills, Medipix/Timepix detectors, analytical models, forward, and inverse problems, and prototype system development for clinical translation
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power (CSP) systems optimization, computational heat transfer and radiative transport using sophisticated numerical modeling and machine learning approaches for forward and inverse problems in radiation
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on regional to global scales through inverse analyses. She/He will also work on other issues related to global atmospheric chemistry, air quality, and model development. Responsibilities include initiating and