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master levels and advancing research about the integration of cutting-edge AI and machine learning as tools to enhance the analysis, interpretation, and scalability of Remote Sensing data. The successful
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in data processing, signal analysis, and programming (e.g. Python/Matlab) Demonstrated experience in publishing scientific journal papers Ability to work well independently as well as in a multi
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from clinical specimens; Develop, optimize, and apply DIA- and PRM-based proteomics methods; Perform quantitative data analysis, normalization, quality control, and statistical interpretation
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(e.g. Python, Julia), You have an interest in, or experience with, machine learning approaches for scientific data analysis. You have a strong interest in interdisciplinary research and enjoy
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implementation and evaluation. Support and co-lead pilot studies in real CBL classrooms; contribute to data collection, analysis, and interpretation of the agent's performance, attending to both technical metrics
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commercial spectroscopic sensor and gathering relevant fermentation data. The computational component involves signal processing and data analysis. As this project involves a different sensor technology than
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topics such as Hamilton-Jacobi Bellman equations, stochastic optimisation frameworks, game-theoretical analysis of space logistics, high order automated differentiation, neural and Hamiltonian ODEs, data
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, bacterial movement, filament elongation, and the effects of regulatory host factors on these processes. Candidate regulators will be selected based on preliminary mass-spectrometry data and literature, and
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17 Jul 2026 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Cultural studies Researcher Profile Recognised
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candidate to develop data-driven financial forecasting, planning, and scenario-analysis tools. You will work on three closely connected tasks in Horizon Europe funded “Sustainable Circular Economy Transition