62 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral research jobs in Brazil
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. Candidates must have a proven track record of scientific achievement in graduate and/or postdoctoral studies. Experience in cell culture, molecular biology techniques, fluorescence microscopy, and animal
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staff position within a Research Infrastructure? No Offer Description The Center for Plant Molecular Breeding (CeM²P), an Applied Research Center (ARC) jointly supported by the São Paulo Research
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for Molecular Engineering for Advanced Materials (CEMol) – a Research, Innovation and Dissemination Center (RIDC) funded by the São Paulo Research Foundation (FAPESP) and hosted by CNPEM. The fellow will work
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-graduate and/or post-doctoral research. Sound experience in cell culture, molecular biology, fluorescence microscopy and animal experiments is required. Expertise on intracellular Ca2+ oscillations imaging
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performance in the PhD course; articles in international journals on the subject of the fellowship project; experience in modeling, numerical simulations, and computational programs of chaotic particle
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of the main project; 2. Improve proficiency in the inverse modeling techniques provided by the PEST software, and apply them to the experimental data for calibration of the MFLUX model, as specified in the main
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strong expertise in quantum computing, quantum algorithms, and physical simulations, including: - Quantum optimization (preferably Quantum Walk-based methods) - Quantum simulation (cold-atom/quantum-optics
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stipend of BRL 12,570.00 (USD 2,373.85), tax-exempt, plus a 10% annual fund for research-related expenses. Applications: send CV, motivation letter, copy of your doctoral thesis, and up to three contacts
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“Postdoctoral Application”, and attach the following documents: 1. Curriculum summary, up to four pages, following the model at https://fapesp.br/en/6351 ; 2. List of up to 5 of your main publications. With a
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areas, with a Ph.D. degree obtained within the last 7 years. The postdoctoral researcher will work on the mapping, quantification, valuation, and integrated modeling of Ecosystem Services (ES) associated