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or interest in at least one of the following research areas: Artificial Intelligence and Machine Learning Computer Vision Econometrics Causal Analytics Programming Languages & Software Engineering Only
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clinicians to propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines. The candidate will also ensure the adequacy and effectiveness of the models and tools
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languages and frameworks relevant to machine learning, specifically Python and PyTorch. Maintaining/contributing to popular code repositories in GitHub is preferred. Able to test, debug and optimize existing
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of high-gain antennas and apply prior-knowledge for machine-learning enabled-synthesis. The applicant will report their research achievements at prestigious journals and conferences. The applicant shall
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technology. Key Responsibilities: Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to transfer learning, explainable machine
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Python, C++, Java, Julia, or other competent languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep
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Engage in collaborative discussions with the large number of team members and collaborators for InVEST Engage machine learning techniques to improve the InSAR coherence time series analysis Job
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limited to) the following: Experience in applying data analytics, machine learning and handling big data Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, ... Fast
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limited to) the following: Experience in applying data analytics, machine learning and handling big data Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, ... Fast
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& Innovation) with the prototyping for their projects. The candidate needs to be able to teach students best engineering practices. In addition, he/she has the ability to identify problems with the students