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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
Learning/Deep Learning frameworks: Scikit-learn, Tensorflow, Pytorch, and Keras. · Knowledge of advanced statistical methods to evaluate Machine Learning models. · Experience with
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for physician interpretation. General knowledge of EHR and PACS computer systems, ultrasound knobology/optimization, and strong customer service skills preferred. Skills / Knowledge / Abilities The ideal
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knowledge of power system security and machine learning being crucial. The Associate will primarily work alongside National Grid engineers to integrate the machine learning backend of the intrusion detection
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: Prior experience running behavioral experiments is desirable, as is previous collaboration or engagement with researchers in economics. Familiarity with methods from machine learning will be a plus. All
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also responsible for managing the College's computer replacement cycle and making purchases on behalf of the Dean's Office. Serve as a liaison to department administrators on operational financial issues
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high-quality instruction in Computer Information Technology, incorporating hands-on, applied learning experiences where appropriate. Teach courses using a variety of instructional delivery methods
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For app developer role: Strong knowledge in C++ and/or Javascript for 3D/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning
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knowledge in machine learning and deep learning methods for remote sensing applications, including architectures such as CNNs, LSTMs, and Transformers, and deep generative models (e.g., VAEs, normalizing
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partnerships to foster sustainability and enrich our university, our culture, and region. Please use the following link to learn more about YSU: https://ysu.edu/about-ysu Show more Show less Connections working
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 days ago
Engineering, Computer Science, or Bioengineering. Knowledge of image processing and image analysis, preferably applied to medical imaging (e.g., segmentation, feature extraction, geometric reconstruction