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Field
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SD-26084 – POSTDOCTORAL RESEARCHER IN THE CHEMICAL VAPOR DEPOSITION OF COVALENT ORGANIC FRAMEWORK...
chemicals and fuels. The postdoctoral researcher will work on the chemical vapor deposition and engineering of covalent organic frameworks for energy applications (WP3). Comprehensive characterization methods
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SD-26085 POSTDOCTORAL RESEARCHER IN THE OXIDATIVE CHEMICAL VAPOR DEPOSITION OF FUNCTIONAL BUILDIN...
chemical vapor deposition of unexplored building blocks for the synthesis of functional thin films (WP2). Comprehensive characterization methods, including surface analysis (XPS, Raman, SIMS, HRMS, TEM, FTIR
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quantitative research methods. Evidence of scholarly productivity, including first-author publications in peer-reviewed journals. Strong interest in sleep research as well as translational impact. Preferred
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, with the possibility of extension for an additional year. While the positions are formally hosted at Aalto University, the employee may, at their own discretion, pursue a visitor agreement with a QDOC
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modelling methods to design resistance-proof antibiotics. You will join an interdisciplinary team, integrating machine learning, medicinal chemistry and microbiology. You will work with Asst. Prof. Eli N
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familiar with the field of protein O‑GlcNAcylation. Preferred qualifications: Preferably at least five years of research experience in a protein biochemistry lab having used common methods such as cloning
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general supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsibilities will include: Pursue research on finite element methods
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familiar with the field of protein O‑GlcNAcylation. Preferred qualifications: Preferably at least five years of research experience in a protein biochemistry lab having used common methods such as cloning
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
. Duration: The research fellowship will have the duration of 12 months. It’s expected to begin in April 2026, and cannot be renewed. It is mandatory to formalize applications with the submission
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database