522 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" PhD research jobs
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in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
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should hold a Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Data Science, or a closely related field Solid background in machine learning and natural
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
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models with drone imagery using machine learning techniques and data assimilation. The work will involve collaboration with an interdisciplinary team of researchers, engineers, and local stakeholders in a
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abled persons to apply for employment positions of interest. Open Date 08/14/2025 Special Instructions to Applicants All applications must be submitted via the UTRGV application portal at http
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Science. Commitment to undergraduate and graduate education. Demonstrated expertise in machine learning/deep learning and software development (Python; PyTorch/TensorFlow). Peer-reviewed publications and strong
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. Interested applicants may apply at https://www.join.pitt.edu under Job ID: 26000407 The University of Pittsburgh is an equal opportunity employer / disability / veteran. Assignment Category: Full-time regular
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associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated
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days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring environment; an active seminar
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may be submitted exclusively via the followingweblink: https://posao.pmf.hr/opening-login?openingUUID=2b31df6c-4d88-44e2-b441-82f7650395c2 Where to apply Website https://posao.pmf.hr/opening-login