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and summarize results, publish in scientific journals, and contribute to the supervision of students. Your profile PhD degree in bioinformatics, machine learning, computer science, biochemistry
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing
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by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
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modeling of quantum computer systems. This can be either a holder of a PhD in computer science and/or engineering (computer architecture and HPC related topics) with knowledge in quantum computing or a PhD
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wet-lab researchers, clinicians, and computational scientists contributing to manuscripts, grant applications, and scientific presentations supervising MSc and PhD student projects Entry requirements We
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appointment’s nature as a career-development position for junior researchers, we are looking for candidates who have completed their PhD no more than three years before the application deadline. The purpose
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(e.g., COBRApy, COBRA Toolbox, RAVEN). Demonstrated experience with machine learning methods and their application to biological or scientific data. Strong programming skills in Python, with experience
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various IPCC climate scenarios Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD in Biology, Ecology, Data Science, or a related subject, or an
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disorder. This project investigates early neural markers of psychosis by integrating multimodal neuroimaging with genetic and transcriptomic data and applying machine-learning approaches to identify
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diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components