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of chemicals based on this activity. Key responsibilities Process and analyse experimental data (e.g., imaging, gene expression) acquired by collaborators. Develop computational models of compound kinetics and
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pathways and predict in vivo adversity of chemicals based on this activity. Key responsibilities Process and analyse experimental data (e.g., imaging, gene expression) acquired by collaborators. Develop
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. Sections of the ecosystem are further analyzed in work-packages that focus on the production and reception of manuscripts, the poetics of prayer, the function of images, and changes and continuities in
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AI; 3) Neuro-imaging Statistics; and 4) Responsible Research Methods; You are able to program software in R, Python, C++ or similar languages and have experience using statistical packages such as SPSS
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purification, cell adhesion and sprouting angiogenesis assays, live-cell imaging, and confocal microscopy. The candidate will be embedded in the research group of Dr. Coert Margadant (https
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purification, cell adhesion and sprouting angiogenesis assays, live-cell imaging, and confocal microscopy. The candidate will be embedded in the research group of Dr. Coert Margadant (https
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airborne laser scanning and multi-spectral satellite image data to develop machine learning methods for earthwork feature and tree species classification using input features selection, data fusion, pixel
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performing complex tissue culture experiments Expertise in stem cell culture, molecular and cell biology, biochemistry, microscopy, genetic models conducted independently Skills in quantitative image analysis
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outside the Netherlands may be eligible for a substantial tax break. More at https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions . Leiden University requires
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multi-spectral satellite image data to develop machine learning methods for earthwork feature and tree species classification using input features selection, data fusion, pixel/object-based classification