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computational methodologies/AI that advance our ability to design reliable engineered biosystems (if the candidate has strong math/computer science background), or building new robotic measurement and control
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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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-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
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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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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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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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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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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
of chemistry, chemical engineering, materials science or comparable Salary group 13 TVöD Temporary contract for 36 months The working time is 75 % The Bundesanstalt für Materialforschung und -prüfung (BAM) is a
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18 Dec 2025 Job Information Organisation/Company Avans University of Applied Sciences Research Field Engineering » Chemical engineering Engineering » Water resources engineering Environmental
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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