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work environment Learn more about CQT at https://www.cqt.sg/ Job Description The CQT S14 team is looking for candidates with strong background in Software Engineering, Computational Physics or Computer
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with Centers, Institutes, and Programs throughout the University and with other academic and health care institutions. (https://medicine.iu.edu/internal-medicine/specialties/general ) IU Center for Aging
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, corresponding to pre-, intra-, and post-operative phases of brain surgery. The work includes data pre-processing, implementation and training of deep learning methods, and evaluation of the results. Legislation
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and qualifications: Experience in deep learning for remote sensing. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable. Enrolment in Master's degree in
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at CERI under supervision of Dr. Goebel. and should contribute broadly to induced seismicity research. Specific research topics include seismicity analysis, machine learning, reservoir modeling, geothermal
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Instituto de Tecnologia Química e Biológica António Xavier ITQB NOVA | Portugal | about 10 hours ago
this period, the candidate to be selected will have the opportunity to collaborate and learn with researchers, science communicators and project managers from ITQB NOVA and Oeiras Municipality, participate in
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, you will conduct cutting-edge research in these areas. You will learn state-of-the-art techniques in formal methods and knowledge representation and apply them to high-impact use cases related
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of the researchers of the DKM group are also affiliated with the Norwegian Centre for Knowledge-driven Machine Learning (Integreat) . The candidate is expected to join Integreat and strengthen the interdisciplinary
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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to hear from you. IU School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and