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Field
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cancer Establish single-cell perturbation screening approaches to investigate cell fate decisions and disease mechanisms Integrate high-content imaging, single-cell transcriptomics, and functional assays
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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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electrophysiological and calcium imaging recording techniques to assess glia and neural activities. Perform pharmacological modulation to investigate neural circuit activity in the context of metabolism and energy
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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intelligence methods for data analysis, including image data processing present results through reports and presentations to scientific and clinical audiences perform heterogeneous data analysis in the context
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
analysis of SMC motor proteins (the candidate with prior experience in quantitative (imaging) data analysis is preferred. Prior experience in microscopy is desired but not required.) Development of 3D
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juergen.beyerer@iosb.fraunhofer.de Phone +49 721 6091 210 Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB www.iosb.fraunhofer.de Requisition Number: 79000
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systems, organoid culture, orthotopic transplantations of cells/organoids, CRISPR/Cas9, molecular in vivo imaging, quantitative proteomics/phosphoproteomics, multiple transcriptomics and genomics approaches