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experience at the time of application; (b) have experience in InSAR applications for landslides and reclamations, PolSAR/PolInSAR for vegetation mapping, finite element analysis, numerical simulation, machine
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(especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning, particularly for multi-variable simulations. Knowledge of complex systems
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The Hong Kong Polytechnic University Position ID: 1437 -AMA250210008 [#26287] Position Title: Position Type: Non tenure-track faculty Position Location: Kowloon, Hong Kong [map ] Subject Areas
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, proteomics, metabolomics, microbiome). Strong expertise in machine learning, deep learning, and advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
, and Precision Health. The project aims to leverage AI and machine learning (ML) to analyze complex metabolomics datasets and address key health challenges, including biomarker discovery, disease
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activities. Qualifications: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Strong background in machine learning, particularly deep learning and natural
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sensing, InSAR, ArcGIS software, machine learning application, etc.; (b) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (c) have good communication skills; (d) be
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polytechnic university, we support student learning in alignment with UW-Stout's polytechnic tenets of applied learning and research, business and industry collaboration, and career focused experiences
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://www.uwstout.edu/life-stout/police-and-parking/clery-information INSTITUTIONAL OVERVIEW University of Wisconsin-Stout, Wisconsin's only Polytechnic University, offers an unmatched career-focused education that
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design, machine learning, supply chain and operations research. Our department features 30 tenured/tenure-track faculty and 6 teaching faculty who contribute significantly to our educational excellence and