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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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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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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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of attention and technology use (full-time, 4 years) Project description The candidates will work on the project “Testing the Technology Related Attention Decline Hypothesis” funded by a European Research
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
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Months: System-Level Analysis and Target Definition: Conduct an in-depth analysis of the overall system architecture and performance needs, translating these insights into specific requirements
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, partly due to a lack of reliable predictors of transplantation outcomes. The ADORABLE consortium aims to develop an advanced, data-driven assessment system for donor kidneys. Central to this is the use