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knowledge of mountain environmental processes, alpine ecology, and/or vegetation change; experience from or competence in using R, Python or comparable programming and analytical tools; show evidence of being
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, procurement, or grant administration will be an added advantage. Experience in areas such as Machine Learning, Deep Learning, Computer Vision, Large Language Models, Data Analytics, or Intelligent Systems will
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by combining plant performance, physiology, and functional traits Access cutting-edge field and analytical approaches while building your academic career THE ROLE An exciting opportunity for a
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, or related analytical and machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). Have good organizational and communication skills and evidence of the ability to work independently as
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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across interconnected energy, water, material, agricultural, industrial, and construction systems. The postdoctoral fellow will serve as the central analytical and coordination lead for the project
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workshops as necessary to acquire new statistical skills. Reporting Results. Submits periodic reports of project status to supervisor, regularly suggests additional tests or modifications in current
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, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno-economic study, design and analysis of integrated systems. Experience with energy system
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Postdoctoral Fellow in Machine Learning and Digital Health Services for Frail Older People Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile
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for three references. Basic Qualifications: Ph.D. in biology, computational and data analytic skills, experience with spectroscopy, plant function, genetics, genomics, evolutionary biology or related field(s