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and its applications. Qualifications: Ph.D. in biomechanics, engineering, computer science, or a related discipline. Proficiency in programming languages commonly used in scientific research, such as
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datasets, and synthesize results for publication and reporting. Proficiency in programming languages and software commonly used in research, such as Python, MATLAB, R, or GIS tools. Excellent written and
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Center Department: CCC | Comprehensive Cancer Center Position Summary This program provides multidisciplinary training across the full spectrum of cancer prevention and control, including cancer risk
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scientific programming, preferably Python or C/C++ • Strong written and oral communication skills Desired Qualifications: • Familiar with mathematical and coding aspects of neural networks • Contributions
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
numerical work (35%) Minimum Qualifications: PhD in Ocean Engineering or related field Experience with programming and analysis in Matlab or similar programming language Experience with hands-on experimental
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techniques (e.g. explainable, ethical, empathic and agentic AI), natural language processing (NLP), large language models (LLMs), data science methods, and mHealth to analyze large-scale, multidimensional, and
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electrocatalyst materials Plan and execute in situ/operando studies using advanced techniques such as X-ray Absorption Spectroscopy (XAS), X-ray Photoelectron Spectroscopy (XPS), Raman spectroscopy, Differential
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and research protocols to assure personal, lab safety, and research volunteer safety. Trainees participate in the established CNRC Postdoctoral Training Program which involves forming a mentoring
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Associate to lead research on the neural bases of language processing or conceptual representation, with a focus on MEG/MRI. The Postdoctoral Associate will design and run experiments, analyze behavioral and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
areas: transfer learning, machine learning, data harmonization, longitudinal data analysis, model ensemble, interpretable AI. Familiarity with programming languages: R, Python, or Matlab. Preferred