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implementing technical and scientific research programs; Contributing to proposal writing and acquisition of preliminary data. Required Educational Background: Applicant must have a Ph.D. in materials science
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proficiency in relevant programming languages (e.g., Python, C++) and tools such as ROS. Experience in simulation and digital twins, as well as the use of synthetic data for training machine learning models, is
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Engineering or related disciplines•High competency in data analysis, numerical modelling, and programming•Strong written and oral communication skills•Relevant background in experimental geotechnics is desired
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mortality using traditional and new forms of data, with a focus on developing and low-income countries. The successful applicant will spend 18 months at LSHTM and enrol in the PhD programme, with fees funded
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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, Biomedical Engineering, Electrical Engineering, Robotics, or similar. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and
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2 Sep 2025 Job Information Organisation/Company CNRS Department Maison de la Simulation Research Field Computer science Mathematics » Algorithms Researcher Profile Recognised Researcher (R2) Country
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30 Aug 2025 Job Information Organisation/Company University of Turku Research Field Economics » Other Geography » Human geography Medical sciences » Other Sociology » Socio-economic research
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to learn the following skills: 1. Ultrasound imaging 2. Transcranial doppler 3. Recording and analyzing physiological data including intracranial pressure using power lab, Moberg, ICM+, or similar software
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to learn the following skills: 1. Ultrasound imaging 2. Transcranial doppler 3. Recording and analyzing physiological data including intracranial pressure using power lab, Moberg, ICM+, or similar software