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requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
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of the molecular mechanisms underlying STM function across evolutionary distant lineages is lacking. This project aims to combine a multitude of -omics and imaging techniques as well as functional studies to work
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systems in the Netherlands! Job description Spaceborne radar systems has proven to be effective tools for broader applications from high-resolution imaging to altimetry. In TU Delft, we are openning a 2
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-resolution imaging to altimetry. In TU Delft, we are openning a 2-year postdoctoral researcher position to advance this promising field. The position is part of NL-RIA 2.0, the Dutch network on small
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. Such effects include dose degradation in components, displace damage in solar cells, different types of single event effects in electronics, imaging instrument interference, internal charging and biological
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, dielectric stability, and breakdown to guide topology selection, dv/dt management, and modulation, validated on a down-scaled prototype. Where you will work You carry out this position at TU/e Eindhoven within
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measurement techniques such as Particle Image Velocimetry, InfraRed Thermography and Background Oriented Schlieren for the study of critical aerodynamic phenomena such as flow separation, transition
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an experimental aerodynamics team has concentrated on the development of advanced non-intrusive measurement techniques such as Particle Image Velocimetry, InfraRed Thermography and Background Oriented Schlieren
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back-end development strong communication and academic writing skills; Good to have criteria: experience working with geospatial or image-based data; an interest in urban health, mobility, public space
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these operations, and then train transformer models to predict sequences of operations in unseen data. Please see Weindel, Borst, & van Maanen, eLife, 2025, Weindel, van Maanen, & Borst, Imaging Neuroscience, 2024