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Field
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• A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and committed with a keen interest in creative and multidisciplinary research
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Apr-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Mathematics/Statistics
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or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning
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of active learning pedagogy that strengthens ‘systems-thinking’ throughout the cross-college Environment & Sustainability (E&S) major. This is a full-time position, based at the Ithaca campus. We expect
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energy consumption in information processing and machine learning (e.g., arXiv:2308.15905); Quantum phenomena in information processing: exploring how quantum effects can be utilized to process information
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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
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the support of and under the supervision of a Principal Investigator. To become familiar with the publication process. To acquire generic and transferable skills (including project management, business skills
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in day-to-day supervision of students. Teach and disseminate your knowledge. Key criteria for the assessment of applicants Applicants must have a PhD degree related to the subject area of the project
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collaboration in international multidisciplinary teams. Where to apply E-mail seleccion@nebrija.es Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Skills/Qualifications PhD in
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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