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well as performing biochemical experiments to investigate the activity and specificity of selected proteases. 3. Advanced fluorescence measurements and quantitative imaging Performing and optimizing fluorescence-based
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engineering Engineering » Process engineering Researcher Profile Recognised Researcher (R2) Application Deadline 1 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable
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, or a closely related area is required. Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Python, Matlab, and C++, and
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within the device. The work combines advanced nanofabrication methods, such as electron-beam lithography and OLED fabrication via evaporation and solution-processing with sophisticated characterization
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not sufficiently understood. In particular, the interplay between surface properties, wafer morphology, and the resulting bonding performance is still largely optimized empirically. In this postdoctoral
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have the opportunity to contribute to various cutting-edge research areas. Several exciting research topics are proposed (not limited): Computer Vision / Remote Sensing for Agriculture: Explore
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preclinical cancer models. Responsibilities will include planning and performing experiments; collecting, processing, and analyzing experimental data; developing and optimizing research protocols; maintaining
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on modelling, optimization, control, and AI applications for smart buildings. The work includes collaboration with international research and industrial partners, publication of scientific articles, and
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work on plant genetics, growth strategies, and crop management with the aim of achieving optimal crop performance by integrating plant, environment, and management. The position offers close
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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization