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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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worldwide and BNL is responsible for data compilation in North America. In order to make full use of the data in EXFOR, experience in data science, machine learning (ML) and applications of artificial
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Appointing a postdoctoral scholar with expertise in causal inference, machine learning, and
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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch
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in hand by the start of the appointment. Candidates must have received their PhD or foreign equivalent within the past 2 years to be eligible for this early-stage postdoctoral training position
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electronically by clicking APPLY NOW below. Profile We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience: PhD in HCI, Computer Science
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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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for these frameworks, and use them to analyze key performance indicators such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or
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to candidates who have prior experience with modular Lie superalgebras. Candidates must hold a PhD in mathematics or Theoretical Physics. The ideal candidate will have extensive experience with cutting-edge