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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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this project and to conduct research in the field of cognitive neuroscience, which will include, among others: Designing and implementing behavioral, functional, and structural MRI studies with different
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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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literature review on flares and prodromal symptoms; (2) Complete analysis of survey data from >3000 patients to investigate patterns and progressions of flare symptoms; (3) Co-design (with patients and
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structures. Modern three-dimensional modelling techniques have become essential for testing the performance of these structures and exploring their evolutionary implications. Scorpions, in particular, show
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analysis. This project is funded with roadmap funding granted by the Research Council of Finland for Biocenter Finland. As part of these two projects, the Project Researcher will play an important role in
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-HSC) that aims to address and dismantle structural factors that perpetuate racial discrimination and harassment within care systems. About the role: We are seeking an enthusiastic Research Assistant
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years of post-doctoral experience. Knowledgeable in organic chemistry, physical chemistry, stable isotope geochemistry, principles of mass spectrometric analysis. Ability to work independently. Experience
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), 39.2 hours/week (100% position). The position is generally suitable for part-time employment. The Leibniz Institute for Prevention Research and Epidemiology – BIPS is one of the leading epidemiological