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technology or system of higher education, in Portugal or abroad. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20, considering the valuation up to two
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performance of optimized industrial formulations; Computational simulation of materials and solutions using numerical methods; Preparation of reports and scientific papers for the dissemination of results. V
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; - Characterizing blister dimensions using AFM and SEM, as well as the strain transferred to 2D materials using spectroscopy (Raman); - Implementing analytical and numerical (finite-element) approaches to analyze
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repertoires of different viral groups groups, and the development of bioinformatic methods for genomic and evolutionary analyses. The research will address critical questions regarding the evolution and
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the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the performance of high pressure
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
animal and human cellular models Single-cell profiling Advanced image processing and analysis Rodent behavior testing facilities In addition, numerous institutional shared resources and core facilities
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physics (especially optics), numerical methods, and basic knowledge of material science. It is meriting to have one or more of the following skills/qualities: experience and/or thorough understanding
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tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
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; factors contributing to differential heat/pollution effects across population with varying characteristics vulnerabilities; and use of causal inference methods to estimate health effects of hypothetical
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methods for large astronomical datasets Human-AI collaboration frameworks for scientific discovery Large-scale applications to observational data from current and future surveys Professor Wandelt is an