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Field
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
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Your profile: Master degree in biology, biochemistry, biotechnology or related areas prior experience with cell culture, iPSC and molecular biology techniques prior experience in bioinformatics
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. This group encompasses a research platform focused on the development of microbiota-based therapies. Within this group, the bioinformatic analysis of data sets and, in particular, the development of prediction
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such as Git. Expertise in at least one of the following areas: Computer vision (e.g., object detection, segmentation, classification, explainable AI) Microbiome data analysis, bioinformatics, or modeling
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to understand why some individuals progress to MCI and AD while others do not. Additionally, you may explore predictive biomarkers for atypical neuropsychological presentations of AD. In parallel, you will study
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SPM images of single molecules into their respective 3D molecular structures. Aim: Design, build, and test computer programs to interpret SPM images into 3D molecular structures. Fields: code
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genetic, molecular and cell biology, biochemical as well as immunological and bioinformatics techniques to study translational aspects of cancer (e.g. Cre/loxP and Flp/FRT based dual- and triple recombinase
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 3 months ago
program to detect and interpret SPM images of single molecules into their respective 3D molecular structures. Aim: Design, build, and test computer programs to interpret SPM images into 3D molecular
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detection, segmentation, and quantification of diseases such as cancer, the generation of novel representations of pathology data for further processing, or the discovery of virtual biomarkers for patients