5 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Fellowship scholarships at Università degli Studi di Padova
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communication, scientific dissemination and technical reporting activities of the project. Where to apply Website https://pica.cineca.it/ Requirements Additional Information Eligibility criteria Eligible
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tumors and metastases to investigate intra-patient heterogeneity. Genomic data will also be integrated with the single-cell datasets available. Where to apply Website https://pica.cineca.it/ Requirements
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potential. Additionally, the study aims to characterize molecular variability both within individual patients and across different patients. Where to apply Website https://pica.cineca.it/ Requirements
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(NPs); 2) Binding of tumor-targeting peptides; 3) Binding of small molecules to NPs; 4) In vitro NP uptake testing and determination of the cellular effects. Where to apply Website https://www.unipd.it
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(NPs); 2) Binding of tumor-targeting peptides; 3) Binding of small molecules to NPs; 4) In vitro NP uptake testing and determination of the cellular effects. Where to apply Website https://pica.cineca.it