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models for inflammatory bowel diseases using primary cells from biopsy samples. Innovative development of complex co-culture systems combining patient-derived organoids with autologous immune cells
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CRISPR/Cas9, cloning, protein biochemistry, as well as work with cell cultures and primary patient samples (S1/S2) Conducting and establishing experiments with in vivo mouse models Analysis and
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/Radiobiology is dedicated to investigating molecular pathways in tumor and normal tissue response to irradiation. Your Tasks The candidate will perform a full proteomic analysis in existing tissue samples of two
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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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spectrometry (LA-ICP-MS) for biomedical samples within the framework of the Collaborative Research Centre SFB 1340 “Matrix in Vision“ Planning and realisation of measurements with LA-ICP-MS in cooperation with
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on the main topic of the project and for designing and conducting empirical studies, including survey experiments. Additional responsibilities include: authoring scientific publications in relevant peer
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in the consortium. Your profile PhD in the field of mass spectrometry-based proteomics Ample experience in mass spectrometry-based proteomics, including sample preparation and hands-on use of modern
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 26 days ago
on the exploitation of the eROSITA all-sky survey and/or the Einstein Probe X-ray data, as well as their multi-wavelength follow-up. Applicants must have Ph.D. in astronomy or astrophysics, or expect to obtain
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 30 days ago
-computing resources (e.g., at the MPCDF ). The institute leads or is involved in many large science collaborations and surveys, including SDSS-V, Euclid, 4MOST, VRO/LSST, JWST, and MeerKAT + JVLA programs
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of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms