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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 4 days ago
Printing in Preoperative Planning. J. Clin. Med. 2021, 10, 917. https://doi.org/10.3390/jcm10050917 Ganguli A, Pagan-Diaz GJ, Grant L, Cvetkovic C, Bramlet M, Vozenilek J, Kesavadas T, Bashir R. 3D printing
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. 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 combining untargeted metabolomics, high
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of 3D printed hydrogels and cell cultures. Qualifications You have solid physics and mathematics background and is excited about experimental science and advanced data analysis. We expect that you enjoy
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, analysis, and 3D modeling capabilities; •Structuring of a 3D database interoperable with the urban registry (pilot project); •Technical validation with real case studies (e.g., pilot urban areas in
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to the development of an innovative microphysiological system dedicated to modeling human beige adipose tissue organoids in a controlled metabolic environment. The candidate will design and implement advanced 3D
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-in-3d-stem-cell-derived-human-organ-models/t11589 Where to apply Website https://www.ceitec.eu/protein-in-cell-nmr-spectroscopy-in-3d-stem-cell-derived-… Requirements LanguagesENGLISHLevelGood
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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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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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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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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