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Field
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To unlock the potential of targeted femtoliter volume control for efficient imaging of biological objects at molecular resolution. Job description Femto-Cryo project is a Topconsortium voor Kennis
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-antibodies. You will focus on the identification of these antibodies by using mass spectrometry based de novo sequencing, machine learning and AI-tools to interpret the data. Your job The primary objective
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intervention. - Designing and evaluating socio-technical interventions – Prototyping and testing interventions, such as novel explainable AI techniques, to help humans effectively detect and mitigate bias in AI
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metasurfaces to boost the sensitivity of plasmonic biosensors. Introduction Current workhorse techniques to detect and study single biomolecules rely on fluorescence microscopy. Recent advances in Zijlstra’s
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the transformation of cities over time? Do you want to find out which kind of governance arrangements drive or hinder such transformations? Then this PhD position ‘Governance of Complex Urban
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-beam SEM that combines high-throughput imaging with integrated cathodoluminescence (CL) detection enabling large-area imaging of biological samples. This four-year research programme will proceed in
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learning techniques, developing attention-based transformer models that will directly classify events from the low-level data, rather than high-level objects, and which may ultimately include higher-level
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accessibility of imaging services. The RHYTHM project addresses key challenges in justification, optimisation, availability, and access to imaging services. Key objectives include the development of evidence
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the low-level data, rather than high-level objects, and which may ultimately include higher-level tasks such as Higgs boson mass regression for the analyzed data. The boosted object analysis will have a
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systems has been an object of intensive research. While verification support for these languages does exist, it is limited in either the guarantees it can provide or in its level of automation. Lifting