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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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Economics, and Machine Learning Location: Suzhou, China Contract Type: Fixed-term, two-year contract (2024/25-2026/27) About Postdoctoral Programme The postdoctoral programs at XJTLU are jointly run by
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is founded by Innovation Found Denmark. Responsibilities: In the project two main approaches are compared. One based on black/gray box machine learning methods and another one on gray/white box data
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• Effective communication skills Preferred Qualifications • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale Modeling
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proficient in English and Swedish, with demonstrated English scientific writing ability. If the applicant lacks proficiency in Swedish, the person needs the ability to acquire these skills within two years
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processes. We offer a unique opportunity to learn high-end techniques, especially for cryogenic studies, and to build a scientific network in astrobiology and planetary science fields. The postdoctoral fellow
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 5 hours ago
engineering Researcher Profile Recognised Researcher (R2) Country Portugal Application Deadline 13 May 2024 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not Applicable Is the job funded
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machine learning and modelling of complex datasets requiring integration. S/he will curate, clean and analyse all data, developing appropriate algorithms and pipelines. UCC is an accredited research
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must have concluded a PhD in Computer Science, Data Science, Artificial Intelligence, Computer Engineering or related area (essential). • The candidate should have a background Data Science/Machine
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described as Wireless Sensor Networks (WSN), Cyber Physical Systems (CPS), or the Internet of Things (IoT). Most computer systems surrounding us in our daily life are no longer the traditional personal
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 7 hours ago
sources in the LISA data; Machine-learning methods to LISA data analysis; A Waveform Generator pipeline that can deliver signal models for all source types expected to be present in the LISA data; Fast and