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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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experience with spatial data analysis using GIS tools or spatial libraries and familiarity with common land-use datasets would be advantageous familiarity with environmental or agricultural economics research
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Max Planck Institute for Plant Breeding Research, Köln | Koln, Nordrhein Westfalen | Germany | about 1 month ago
, maintenance and troubleshooting on an Aria Fusion cell sorter Sample preparation, cell sorting and data analysis Generation of single cell libraries with 10X Genomics, Singleron and BD Rhap-sody platforms
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of Electrical Engineering and Computer Science School of Art and Design Course language German and English Financial support No Structured research and supervision Yes Research training / discussion Yes Career
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The Children’s University of Tübingen Neuroscience student lab Demokratie Zukunftsfest Careers Back Job vacancies IT & Library / Technology & Maintenance / Administration Professorships Postdocs, assistant
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The Children’s University of Tübingen Neuroscience student lab Demokratie Zukunftsfest Careers Back Job vacancies IT & Library / Technology & Maintenance / Administration Professorships Postdocs, assistant
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The Children’s University of Tübingen Neuroscience student lab Demokratie Zukunftsfest Careers Back Job vacancies IT & Library / Technology & Maintenance / Administration Professorships Postdocs, assistant
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The Children’s University of Tübingen Neuroscience student lab Demokratie Zukunftsfest Careers Back Job vacancies IT & Library / Technology & Maintenance / Administration Professorships Postdocs, assistant
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lines; generation of samples for proteomics analysis Data integration and analysis, including transcriptomic, proteomic and library screen data Target validation by CRISPR-Cas9 knockouts in primary AMLs
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or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property