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Field
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to adapt. Your tasks Given the paradigm shift in marketing of searching products from search engine to direct recommendation from Chatbot based on Large Language Models (LLMs), we’d like to explore following
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interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic
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, as well you know how to work with a computer You work as a team player to solve problems analytically and work out solutions You are willing to learn something new every day and are willing to participate
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of location) Very good technical equipment for successful home office work A large research campus in the countryside, which offers the best opportunities for networking with colleagues and for a sporting
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 1 day ago
zebrafish and various cell lines. The facility is equipped with various sorters (FACS AriaIII, BioRadS3e, Bigfoot and Large Particle Sorter) and an analytical cytometer (LSR Fortessa). Your responsibilities
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scattering as well as small-angle X-ray and neutron scattering, also at large-scale facilities. Modeling of these data will be carried out using existing software. The unique combination of complex polymers
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and disease risk factors Investigate new approaches in the analysis of large neurophysiological datasets We are seeking a highly motivated candidate with: A strong master’s degree in psychology
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variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, and ChIP-seq/Cut&Run datasets; to perform large-scale data integration of single-cell
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. This includes research on psychological assessment, psychometrics, and methods in large-scale assessments. Your tasks We are seeking an international visiting researcher to collaborate on an innovative research
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extraction, sequencing library preparation, Hi-C, ATAC-seq etc.) Experience with bioinformatic analysis of large sequencing data sets Strong statistical skills using R Desirable: Experience with assembly