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complexity of in vivo patient tumors. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By
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Dipartimento di ingegneria industriale - Università degli Studi di Padova | Italy | about 1 month ago
of the 3D-printed clips; Analysis of the results Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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the experimental design, data analysis, and dissemination of results (manuscript preparation, presentations, etc.), so a high level of written and spoken English is required. Where to apply Website https
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prior research experience in one or more of the following areas: metabolism, single-cell transcriptome, 3D tissue or animal models, biomaterials, immunology, and stem cell biology. • Demonstrated
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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chemical analysis of pollutants. - Autonomy and initiative - Organization and rigor - Ability to work in a team - Proficiency in the necessary computer tools Website for additional job details https
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manipulations. Assay Development: Support the development of cellular and biochemical assays to complement in vivo findings. Data Analysis & Interpretation: Analyze complex datasets from in vivo and in vitro
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in the areas of energy transition, mobility, and infrastructure Analysis, processing, and integration of geodata, aerial imagery and sensor data (e.g., ALS data, orthophotos, land cover data
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in situ across length scales and relate their structure/organization to fertility phenotypes. The work includes include (i) investigating the 3D structure and composition of unknown macromolecular
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in using 3D motion capture equipment for biomechanical analysis of movement. You have experience with OpenSim for biomechanical analysis of movement. Experience with image-based modeling or ultrasound