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over a very large area, using sputtering deposition techniques. The overall objective of the project is to define the parameters of this technology (integration of high-performance phase-change materials
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there will be many opportunities for the postdoctoral researcher to expand their professional network and skill set. We are therefore seeking a researcher who is comfortable working with multiple collaborators
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to development of open-source software. Receive tailored mentorship in grant writing (e.g., NIH K99/R00), career planning, and leadership. Minimum Qualifications: The candidate should hold a Ph.D. (or equivalent
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), structural equation modeling (SEM), latent profile analysis, causal mediation, and related techniques. Proficiency in statistical software and programming languages (e.g., SPSS, MPlus, R). LICENSES: A valid
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resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects related to learning engineering and AI
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both method development and empirical research, the latter in collaboration with scientists from other departments. We offer a research environment with access to national and international networks. Our
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theory Familiarity with code development for Software Defined Radio systems and suitable programming environments (e.g., Python, APIs, automation frameworks, Jupyter, etc.). Experience in program
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and tumor co-evolutionary networks in gastric tumors, tumor draining lymph nodes and metastases. We are seeking highly motivated candidates with advanced computational biology skills in the technical
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Università degli Studi di Milano, su finanziamento codice U-GOV HE_ERC24CVERN_01 | Italy | 18 days ago
Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 2 Oct 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not
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for a postdoctoral fellow to join our team to work on a new SNSF-funded project on Managing a Just Transition to Net Zero. This project aims (1) to measure economic/job vulnerabilities to the clean energy