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are considered essential. The researcher will primarily design and execute total X-ray and neutron scattering experiments, using pair distribution function (PDF) analysis to elucidate the short- and
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Skip to content Postdoc in Developing AI/ML workflow for quantitative analysis of lipid nanoparticles KTH Share: Facebook Twitter LinkedIn Email Application deadline August 28, 2026 Read more and
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organization within the tumor microenvironment. We use spatial transcriptomics and spatial proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular
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-sEMG), prosthetic control, and computational analysis of large-scale biosignals, in close collaboration with clinical and academic partners. A major focus of the group is the development of advanced
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imaging and quantitative data analysis. Main tasks - Generate isogenic leukemia cell-line models carrying clinically relevant TP53 alterations using CRISPR/Cas-based genome editing. - Establish models
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cross-sectorial analysis of supply chain risks and disturbances. This includes qualitative and quantitative aspects of analyzing governance, risk mitigation (e.g. preparedness stock piling), governance
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analysis of cellular function and molecular states, with a focus on pancreatic islets and stem-cell-derived islets. The doctoral student will combine electrophysiological measurements using high-density
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Sentinel-1/2 time series. Strong proficiency in Python for geospatial data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written
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single-cell profiling analysis workflows to dissect developmental processes modelled in stem cell differentiation cultures. Therefore, we seek a candidate capable of working as part of a diverse team
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The Department of Mathematics and Mathematical Statistics at UmeÃ¥ University (Sweden) is offering a postdoctoral scholarship within the project “Bounds for Pancake Sorting and Analysis of the