237 data "https:" "https:" "https:" "https:" "Inserm" Postdoctoral research jobs in Germany
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generation, sequence analysis, and data management Rapid Evaluation of newly emerging computational tools relevant for protein design Implementation and optimization of experimental workflows for rapid protein
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for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position
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-throughput data acquisition Quality control, method validation, and standardization of analytical procedures Collaboration with research groups within BioSysteM and exchange with your Technology hub colleagues
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molecular pathways of cancer by analyzing and integrating multi-omics and clinical data. Key Responsibilities Analyze and interpret multi-omics datasets, including genomic, transcriptomic, and clinical data
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advanced wet-lab experience in molecular biology and in reverse genetic approaches. • You are familiar with FAIR data handling and in silico data analysis. • You work precisely and reliable. YOU FIT TO US
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) on the collection and processing of personal data in connection with your application http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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cells of individuals at high risk of developing type 2 diabetes and its complications. Tasks Perform end-to-end data analysis, including quality control, data integration, and inference of regulatory
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: Philipp Rosner: philipp.rosner@tum.de More Information https://www.mos.ed.tum.de/en/ftm/karriere
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal