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collaboration with the theorists involved. The postdoc will construct and use 3D printed model porous media. The analysis will entail extensive use of image analysis techniques such as Particle Image
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) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The appointed candidate will mainly contribute to the first main
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. Programming skills, with experience or willingness to learn Python. Experience with image analysis and/or signal processing techniques. Quality of the master's thesis and the relevance of the master's thesis
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neuropsychiatric disorders, their treatment, and outcomes. The Centre has access to a large database of biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data
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general and domain-specific knowledge with data, extending the data-centric paradigm of ML. Applicants for this position will be especially interested in pursuing their research within INTEGREAT
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, their treatment, and outcomes. The Centre has access to a large database of biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with
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advanced imaging techniques and high throughput single-cell technologies including high density spatial transcriptomics. As eluted to above we will have access to a unique well-characterized clinical biopsy
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untargeted LC-MS analyses of biological samples. Experience with imaging methods such as IncuCyte, confocal microscopy and FLIM, for the analysis of subcellular cofactor concentrations using fluorescent
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biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with severe mental disorders. In addition, we work closely with national population cohorts
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disorders, their treatment, and outcomes. The Centre has access to a large database of biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients