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of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching. Therefore, the doctoral
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experience in the design of therapeutic antibody modalities Documented research experience in AI/machine learning/deep learning Documented experience in the development of therapies for oncological
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on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The specific focus is on development and
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focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop
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, the following are required: – Documented several years of experience in training, evaluating, and deploying machine learning models, including deep neural networks and relevant frameworks – Documented several
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that are commonly used today. Using the improved noise models, machine learning methods will be used to enhance the segmentation of EEG data into auditory signal and background activity allowing for refined control
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community of Digital Research Engineers. The offices also host computer infrastructure and machine learning/data science/research data management experts, who develop, build, and manage the local and national
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position as a senior lecturer, with opportunities for further career advancement. You will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish
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data Expertisein advanced statistical analysis and machine learning methods Excellent English communication skills (spoken and written) We seek a creative, independent, and collaborative co-worker with
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will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff