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moiré superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and
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to high quality patient care. Experience in medical imaging and machine learning for data extraction. * Experience in biostatistical analysis preferred. Application Instructions Submit a single, merged PDF
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 22 hours ago
deep learning (x/f/d/m) Background With the project Deepcloud, we will leverage the machine-learning revolution to understand clouds and their role in the climate system. We aim to train a deep learning
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. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be offered in Polish and/or English Academic organizational
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23 Jan 2026 Job Information Organisation/Company IMT Atlantique Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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for regulated data environments. Stay current with emerging data engineering and cloud technologies to enhance platform capabilities. Extend ELT architectures to support machine learning workloads. Build feature
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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Koç University, Dept. of Computer Engineering Position ID: KU-Dept. of Computer Engineering-COMP2026 [#31527] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Istanbul
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 19 days ago
modules leveraging deep learning for classical problems such as segmentation and 3D object tracking interfacing machine learning code and the robot using ROS2 contributing to the creation of datasets
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated