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and municipality about the chosen emergency context. Develop a video observational measurement instrument and use this to conduct video analysis of the footage. Carry out various statistical analyses
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for donor kidneys. Central to this is the use of machine learning to evaluate the predictive value of biomarkers from various sources: donor-related data, perfusion fluid, and kidney biopsies. Kidney biopsies
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negatives and improve detection performance. To address this challenge, a mix of formal methods, AI methods, and testing methods can be applied in both static and dynamic analysis. For instance, formal
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PhD position in Mass Spectrometry-Based Antibody Analysis Faculty: Faculty of Science Department: Department of Pharmaceutical Sciences Hours per week: 36 to 40 Application deadline: 1 December
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individualized diagnosis and prognosis. As part of the ENSEMBLE Project—a multinational study funded by the Fondation Paralysie Cérébrale—you will help develop a machine learning-based multimodal prediction tool
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Examination (HINE). However, current predictive models lack integration of these modalities and precision in individualized diagnosis and prognosis. As part of the ENSEMBLE Project—a multinational study funded
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bioinformatic and AI tools to analyse the mass spectrometry data and improve the de novo sequencing workflows. Your work will lead to new antibody leads, that can be recombinantly produced and ultimately tested
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motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial intelligence. About the project Vulnerabilities in software products continue to be a major
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How can more households be engaged in the energy transition, especially those less willing or able to take part? This PhD project investigates how individual concerns and behaviors are embedded in
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, are you fluent in Bengali? Then this PhD position as part of the interdisciplinary FLASH project might be for you. The problems of livelihoods in peri-urban areas are complex and multifaceted, shaped by