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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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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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and methods added to his/her toolbox. The project deals with biotechnology, nanotechnology, physics, material sciences, and physical chemistry, so a broad range of candidates will find new knowledge
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related to staff position within a Research Infrastructure? No Offer Description The Neuro-Symbolic AI Group at the IDIAP Research Institute operates at the interface between neural and symbolic AI methods
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and/or professional training in digital health and health innovation; b) Experience in applying mixed methodologies, including quantitative and qualitative methods; c) Knowledge of digital health
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, cultivating interdisciplinary dialogue, and an interest in teaching and mentoring undergraduate students. The anticipated teaching load will be one formalized course per year, AS1111 Milstein First-Year
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on understanding how different excitation methods generate polarons and correlated materials in the cuprates and other quantum materials, building on our recent results in the vanadium dioxide (see Johnson et al
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problems. Ability to exercise sound judgment in making critical decisions. Bilingual (English/Spanish) – very strongly preferred Have received formal training in implementation science (e.g., graduate level
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programming (C++, MPI, CUDA/HIP/ROCm). Preferred Qualifications: Familiarity with LLVM/MLIR development and multi‑language IR ecosystems. Background in formal methods or automated reasoning. Experience with