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experience in NGS data analysis and genomics pipelines since similar to proteomic pipelines. Record of prior first-author publications. A deep interest in biomarker research and discovery. The drive to pursue
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optimal transport and gradient flows to machine learning and optimization applications, such as deep generative models, sampling, inference, stochastic optimization, and beyond. The doctoral student will
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expertise in research and development in the following areas of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in
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AHPRA as Registered Nurse with no condition Post graduate nursing qualifications: Graduate certificate minimum. PhD or Masters level desirable. Experience in university-level learning and teaching
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PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/134234 Requirements Specific Requirements PhD Student Profile: • Master's in Embedded Systems
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thinkers, and responsible leaders. Among the distinctive features of the university are its deep dedication to civic and community engagement, robust undergraduate research programs, and a strong belief in
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autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience
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, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD
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generate, transmit, and detect OAM-entangled photons under realistic atmospheric turbulence. Deep learning algorithms will be employed to pre-compensate distortions in real time, maximizing state fidelity
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excellence within the School of Engineering, with a strong focus on Computational Geomechanics and industry-engaged research translation. This role is suited to a senior academic who combines deep technical