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is based on a previous qualifying position PhD Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years. We process personal data
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, signal processing and image processing in medicine with an extensive level of access to large clinical datasets. Research in the Weil Institute focuses on the development, validation and maintenance
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for clinical AI based on patient data from heterogeneous sources notably language/speech-based sources. The activity will focus on the development of a prototype implementation of early warning- and other AI
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of imaging protocols (MRI, MRS, OPM-MEG). Candidates will benefit from a demonstrable experience in these fields. The core abilities and attributes required include resilience, creative problem-solving
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neurobiology and mouse models is advantageous. Have experience with in vivo calcium imaging (preferably 2-photon), stereotactic surgery and drug delivery, gene expression analysis (e.g. snRNAseq) and antisense
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interdisciplinary team will develop a machine learning based monitoring system that leverages spoken language processing (SLP) and natural language processing (NLP) of speech recorded at home to calculate relapse
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USN 15th August 2025 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Fellow in AI for hematological image
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We are seeking a Senior
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We are seeking a Senior
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to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological