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computing subjects, including artificial intelligence. In addition, you will be able to demonstrate specialist expertise in one or more of the following areas: - Machine learning and deep learning
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Engineering, or a closely related field. Required qualifications for graduate teaching include a PhD or terminal degree in Computer Engineering, Electrical Engineering, or a closely related field (preferred
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relational database environments Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses) Apply machine learning approaches for predictive modeling
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engineering Engineering » Communication engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 20 Apr 2026 - 23:59 (Europe/Warsaw) Country Poland Type
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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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Qualifications: Completed doctoral studies – PhD in bio-resource technology, practical implementation of Machine Learning, or a related field. Strong knowledge of Food security theory. Understanding of principles
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integrated onto drone platforms engineered by project partners, with the objective of assessing the structural integrity of concrete façades. Objectives The objective of this PhD thesis is to develop a Machine
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imaging analysis techniques in biological systems, including cell and tissue samples. • Familiarity with conventional and machine learning based image processing approaches. • In-depth knowledge
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to, patient-specific, monthly, daily, and annual QA, machine and equipment acceptance/commissioning, imaging technology, treatment ordiagnostic planning, special procedures, and radiation safety. The focus will