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Field
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Artificial Intelligence and Natural Language Processing Data Science and Machine Learning Recommendation and Big Data Analysis Cybersecurity Software Engineering Digital Health Computer Science Education For
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth
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, resulting in inconsistencies across soil properties and underperformance in data-scarce regions. This PhD project will develop next-generation machine learning methods for geospatial prediction by integrating
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infrastructures. • Experience in advanced statistical analysis and the processing of large volumes of data. • Participation in international scientific collaborations. Complementary Training • Knowledge of machine
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of flexible energy resources (e.g., heat pumps); knowledge of mathematical modelling, optimization, machine learning, or data analytics (experience in one or more is desirable); strong scientific programming
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of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars
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Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division of Geothermal Research | Karlsruhe, Baden W rttemberg | Germany | 3 months ago
seismology and signal processing. Strong programming skills (e.g. Python, MATLAB, C/C++). Proven experience in big data analysis and/or machine learning. Interest in geothermal applications. Enthusiasm
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degree (or equivalent) in AI & Cyber Security, or a closely related discipline such as Mathematics, Computing, Data Science, or Machine Learning PhD at or near completion (strictly within three months
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for purposes of collective bargaining and matters affecting your compensation and working conditions. Basic Qualifications PhD in Computational Biology, Bioinformatics, Machine Learning, Data Science, or a
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for the production of architectural spaces; therefore, extensive computer skills, as well as in-depth knowledge of design-related software such as Rhino, Grasshopper, Blender, Unity, AI applications and laser scanning