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should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 9 hours ago
significant time in preparing and analyzing firm- and firm-worker-level data to study the above topics. A full job description is available at https://web.mit.edu/sloan-hr/jobs
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Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will
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collection, cleaning, and organization across multiple research projects using software such as Excel, R, or Python. Assist with Institutional Review Board (IRB) submissions, amendments, and documentation
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Part-Time Lecturer for IE2108 Data Structures and Algorithms in Python The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore, invites qualified
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-9003 Funding: PEPR SPLEEN AMHYABLE (https://www.pepr-spleen.fr/projet/projet-amhyable/ ) Where to apply E-mail karine.truffin@ifpen.fr Requirements Research FieldEngineering » Mechanical
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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tissue using genetic mouse models, functional screens, and single cell and spatial omics technologies. More details about the laboratory: https://www.ibt.cas.cz/en/research-laboratories/laboratory
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, genetic information, veteran status, marital status, and/or political affiliation. See: http://www.unl.edu/equity/notice-nondiscrimination Minimum Required Qualifications: Master's degree in Artificial
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fast, efficient, and versatile reconfigurable thermal landscapes controlled by light polarisation, power and illumination patterns. (https://dx.doi.org/10.1039/C9NR01628G, https://doi.org/10.1103