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continuous learning, offering mentorship, career development, and upskilling opportunities. 🤝Collaborative Culture: Join a high-performing team that values trust, innovation, and excellence. 🔹Finance
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efficient deep learning and support to teaching and outreach on sustainable and multimodal AI. Where to apply Website https://www.unimore.it/ Requirements Additional Information Eligibility criteria Eligible
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needs. Project background We are excited to announce an interdisciplinary PhD opportunity focused on mechanochemical processes driving radical formation and redox cycling in the deep subsurface, with
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(pre-processing, filtering, feature extraction in the time, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models; integration and analysis
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and deep learning methods for the analysis of microscopy images from 3D cell cultures, analysing and modelling time‑resolved electrical signals, such as electrical impedance spectroscopy, linked
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, Linguistics, Computer Science, Philosophy, Psychology or Neuroscience. Must demonstrate ability to teach effectively in a dynamic learning environment. Must demonstrate experience with, and deep knowledge
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in machine learning and deep learning Knowledge and experience in wireless communications and radar Knowledge and experience in statistical signal processing Knowledge and experience in 5G networking
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of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational
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Qualifications* Must be enrolled in a Rackham Graduate Program (https://rackham.umich.edu/programs-of-study/ ) Must be in a biological, chemical, or physical science discipline. Must hold an advanced degree or be
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build the sustainable companies and societies of the future. Luleå University of Technology (LTU) is one of Sweden’s leading universities in the area of Machine learning, especially in Deep Learning, with