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29 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biology Physics » Biophysics Physics » Statistical physics Researcher
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processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work and excellent communication skills in spoken and written
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measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
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projects with other group members and our experimental colleagues. A desire to develop the direction of your project is very welcome! Job requirements Masters in Physics, Computer Science, Nanobiology
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atmospheric datasets using programming languages such as Python, MATLAB or R. Experience with atmospheric data processing, quality assurance and statistical analysis. A strong publication record of peer
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(or willingness to develop these skills). Experience with statistical programming, preferably in R. Excellent written and spoken English. Strong analytical, organisational, and project management skills
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as a pathfinder for novel technologies and working methods across all space domains. The overarching goal of this research fellowship is to develop and study advanced theoretical frameworks for deep
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team at the University of Twente, you adapt existing quality control algorithms and develop additional validation methods. You participate in recurring online meetings with scientists and technicians
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
external Human-Machine Interfaces (eHMIs) can enable safer and more inclusive interactions. You will: Develop a theoretical framework for identifying key characteristics of AV–VRU interactions and define
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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