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communication testbeds using TMYTEK hardware Implement deep learning models for wireless channel estimation, signal detection, or beamforming Collect, process, and analyze experimental RF data Support MATLAB
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frontend applications: Angular or React; experience in building Machine Learning and Deep Learning models; knowledge of AI/ML libraries (TensorFlow, PyTorch, Scikit-Learn or similar); ability to prepare and
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, Python or similar) Specific Requirements Interest in optical imaging and interferometry. Prior knowledge will be a plus Interest in computational methods, image processing and machine/deep learning. Prior
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recordings. More information on the smartphone can be found here: https://www.kneuhealth.com. The successful applicant will work closely with our senior postdoctoral scientist on Deep learning and Machine
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | about 2 months ago
-scale deep learning, ideally applied to protein or nucleic acid sequences Ability to work independently and to translate diverse scientific use cases (brought by wet-lab and computational colleagues alike
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. Duties & Responsibilities Advanced AI/ML Development & Technical Consulting Develop, validate, and deploy advanced statistical, machine learning, and deep learning predictive models to generate actionable
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program that fosters deep interdisciplinary collaboration. We welcome candidates utilizing a broad spectrum of modern research methodologies. Areas of Interest Chemical and Environmental Engineering We
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interest in one or more of the following areas is considered an advantage: Machine learning, deep learning, natural language processing or data science. Electronic structure calculations (e.g. DFT or tight
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). Desirable assets are: • Machine learning, deep-learning, artificial intelligence, advanced statistical inference; • A solid record of research activities, including relevant publications in international peer
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Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your