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analysis, based on particle-in-cell (PIC) simulations, in order to (1) compare the effect of different types of broadband sources on the growth and saturation of three-wave coupling instabilities (Raman and
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biological samples preparation for histological analysis, specifically of hard tissue (bone) processing, embedding, sectioning, and staining for histological evaluation. Experience with cell culture models
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cell biology, and experience working with plants are pluses. We offer training in advanced imaging, and various molecular & genetic skills for investigating fundamental cellular mechanisms. The lab is
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biomarkers of health and disease. We strive to understand biochemical and cellular mechanisms governing bioactive properties of chemicals in order to promote food, drug and personal care product function and
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
Developing computational framework for 3D shape modeling towards biological insights Developing AI-based representation learning framework for data-driven cell modeling Report findings and methods in
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to such inhomogeneous fields. Mathematical modelling combining physical and biological aspects offers a tool to tackle this problem. In the project, a predictive model should be enhanced and validated for cellular and
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in the live organism to study e.g. immune responses or cancer development. Moreover, using molecular sensors we also aim to read out cellular functionality in vivo e.g. metabolic reprogramming in
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between 0 (0 points) and 10 (10 points). - If the Master’s degree includes modules in Solar Cell Physics, Thin-Film Photovoltaic Technologies, and Industrial Photovoltaic Technologies, 2.5 points will be
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cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over
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. Experience with chemometrics and informatics (Python programming). Solid theoretical background in molecular and cell biology and experience with glycoproteomics or glycomics will be considered a strong plus