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Field
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learning, and computational modelling. The doctoral candidate will investigate how pressure differences can be calculated directly from magnetic resonance imaging (MRI) and ultrasound data, reducing the need
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, including using AI/computer vision tools Experience with R or Python for data analysis Experience designing and conducting laboratory-based animal behaviour studies Experience in writing papers
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, computer science, physics, data science or a closely related discipline. • Experience in MRI image analysis and scientific programming, preferably using Python and modern computational libraries. • Experience
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expertise developing, validating and deploying advanced statistical and machine learning models using Python, R, or similar programming languages in a research environment. Experience working with melanoma
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Networks (GNNs), Convolutional Neural Networks (CNNs), and Transformers. These resources will be made available to researchers across different scientific domains. Ultimately, this initiative will empower
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individually, make a real difference. The role We are recruiting a postdoctoral researcher for project PROTEQT (QuantERA) (Fixed term contract upto June 2027). The successful candidate will lead the theoretical
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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with mechanistic differential equation models to understand signalling differences between individual cells. You will develop open-source computational tools (www.github.com/PEtab-dev/petab_sciml) and
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skills in longitudinal and trend analyses of survival, mortality, and disease burden. Contribute to research aimed at improving understanding of population differences in CKD burden and identifying
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differences enrich the work environment for all. Not ready to apply? Join our talent community here! Basic Qualifications What you’ll Need: Applicants are expected to hold a Ph.D. Experience with computer