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, statistics, physics, biostatistics, bioinformatics or computer science.Type of contract: Temporary.Job status: Full-time.Duration: 36 months.Application deadline: 15/05/2024 23:59 - Europe/Brussels.Envisaged
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spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data
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3 Apr 2024 Job Information Organisation/Company CNRS Department Center for Theoretical Physics Research Field Physics » Biophysics Physics » Statistical physics Mathematics » Applied mathematics
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with a community of ambitious researchers from the fields of machine learning, statistics, logic, language technology, and ethics. Integreat, the Norwegian centre for knowledge-driven machine learning
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master's degree in Business and Information Systems Engineering, Business Engineering, Informatics, Computer Science, Machine Learning, Artificial Intelligence, Information Management, Statistics or related
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 16 days ago
datasets (like international or panel surveys) is an advantage Confident mastery of the statistical packages R, knowledge of further packages is an advantage Proficiency in spoken and written English and
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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
experience in field, database and GIS work on biodiversity and ecosystem processes, such as ecohydrology, nutrient dynamics and carbon pools, as well as statistical modelling will be considered assets.Fluency
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Keywords: Ultrasound and Vibration, Structural Dynamics, Composite Structures, 3D Printed Structures, Damage, Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics
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at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications
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qualifications:- you have completed or are close to completion (about to submit/defend) of your Master in Computer Science, Electrical Engineering, Statistics, Robotics or a related field- strong background in