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learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical
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of pharmaceutical formulations and molecular recognition processes relevant to drug delivery systems. The work focuses on molecular binding phenomena such as host–guest inclusion complexes and drug–excipient
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into the transport, deposition, and long-term storage of plastics in the deepest parts of the global ocean. Relevant experience in (micro)spectroscopic analysis, image analysis, or environmental particle analysis will
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of: Perform advanced microstructural and topological analysis of natural fibres using 3D imaging and image‑processing tools. Design and refine routes to isolate and tailor lignin fractions derived from
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development of early warning systems, risk assessment of pathogens; optimization of the calculation of disease burdens, visualization of complex correlations, Big Data analyses, automated analysis of high
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems
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, including machine learning and language technologies, for the integration and analysis of clinical, advanced data harmonisation, and next generation research infrastructures. You will contribute to research
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to experimental protocols in a proficient and meticulous manner. Responsible for the collection, analysis and interpretation of research data related to specific project. Submits manuscripts and abstracts
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crosstalk related to the process of mechanotransduction. This organoid will be cultured in a complex microphysiological bioreactor that allows for culture under defined conditions (oxygen saturation
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts