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Field
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together with the successful candidate and in dialogue with the relevant academic and external research environments. Duties of the position Develop machine-learning methods for detecting, localizing
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, an ambitious ERC-funded research program that aims to develop and evaluate personalized donor health protection strategies for blood and plasma donors. As demand for plasma-derived medicinal products continues
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mission in society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed
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flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society Developing tasks in a strong
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: Conduct original scientific research related to the project topic Develop new algorithms and methods combining AI and optimization Publish research results in leading international journals and conferences
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introducing narrow-bandwidth active noise compensation. RF field feedback can be further enhanced by investigating variable-gain controllers that adapt to cavity detuning, or exploring other feedback algorithms
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erythrocytes, alongside biomarkers of inflammation and oxidative stress. Using combined laboratory and clinical data, empirically derived algorithms for subphenotype identification will be developed through
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learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven
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Chemistry for Health” track. IJCLab bases its recruitment policy on the promotion of equality, diversity, and inclusion. These core values support both the professional development of staff, key contributors
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Description The main tasks to be carried out by the selected candidate will be the following: ● Develop new methods for the uncertainty quantification of non-linear statistical models using the 'online