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at Master’s level in Mathematics, Computer/Data Science, Computational Science and Engineering, or a related field, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced
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Are you passionate about working in an interdisciplinary and international team to explore the interface between computational models, complexity science, network science, and public health
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
fundamental research across computational, physical, and social dimensions, we shape artificial intelligence and robotics to advance knowledge and benefit society. The Optics & Sensing Laboratory (OSLab
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programme of study: search for the ‘Course Title’ using the programme code: 8030F select ‘PhD Chemical Engineering (full time)’ as the programme of study You will then need to provide the following
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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experience and knowledge in either of the following: materials science, biomedical engineering, chemistry, chemical engineering, materials engineering, engineering physics, applied mathematics, computational
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and characteristics: Master’s degree in Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence, or a closely related field. Strong programming and system integration skills in
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Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
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biosensors that integrate platform sensing technology with tailored electroactive materials to enable precise and reliable detection of key TLS-related biomarkers using robust, user-friendly electrochemical
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-engineering@kcl.ac.uk Department of Informatics : informatics-pgr@kcl.ac.uk Department of Mathematics : mathematics-pgr@kcl.ac.uk Department of Physics : physics-pgr@kcl.ac.uk Where to apply Website https