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training in Mathematics, Physics, Data, and Computer Sciences; Experience in modeling, data analysis, and statistical methods of networks/complex systems is required. Experience with computational models
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 18 days ago
Qualifications: Students in engineering fields related to data science, information technologies, industrial engineering, mechanical engineering, or similar. Enrolled in a master’s degree program. Conditions for
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, surface science, soft matter physics, and experimental characterization, including imaging with microscopy. The incumbent will conduct research and/or analyze research data and ensure that all experiments
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29 Sep 2025 Job Information Organisation/Company Centro de Engenharia Biológica da Universidade do Minho Department Engenharia Biológica Research Field Technology » Environmental technology
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intelligence as a Professorial Research Fellow in AIML. To be successful you will need: A doctorate (or equivalent) and research experience in computer science, machine learning, AI/software engineering or a
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. Applicants will ideally have some knowledge of theories and frameworks relevant to implementation science (e.g. Normalisation Process Theory, CFIR). Your knowledge and experience will usually have been gained
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journal publications. The post is based in the Signal Processing, Audio and Hearing (SPAH) Group within the Institute of Sound and Vibration Research (ISVR) in the Faculty of Engineering and Physical
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for a National Intelligence Discovery Grant (NIDG) project, in collaboration with researchers in the School of Computer Science and Electrical Engineering who are focusing on antenna design. It is
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for a Postdoctoral Fellow in Soft Matter Physics / Materials Science Your tasks Develop and implement microfluidics for soft matter and scattering measurements Analyze molecular structures in real-time
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University can be found at: https://www.LN.edu.hk/philoso/?page_id=9 . Requirements Areas of Specialization: Philosophy of Science; Formal Epistemology; AI; or Philosophy of Biology, Chemistry, or Physics