19 finite-element-method-"Multiple" Postdoctoral positions at University of Southern Denmark in Denmark
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in ion transport and (2) using machine learning methods to design protein binders. The incoming postdoc will have the opportunity to mould the project to a significant degree. The candidate should have
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. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial communities, for use in health science. We aim to expand
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the transgenerational effect of maternal traumatic brain injury on offspring in rats. There is growing concern that maternal trauma is a risk factor for neurodevelopmental disorders, such as attention-deficit
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). The successful candidate will contribute to the Nudge2Green research project, applying software development and AI methods to design digital nudging tools that promote sustainable consumer behavior in food choices
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understanding of chemical safety regulations and frameworks: CLP, REACH, SVHC lists, and GHS classification. Demonstrated experience with: Hazard and risk assessment methods (e.g., QSAR, NAMs, in silico tools
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methods. Ability to work independently, think analytically, and approach tasks systematically while maintaining a clear focus on objectives. Adaptability and ability to communicate in a constructive and
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or related fields Have experience in conceptual research and theory building. Have command of quantitative or qualitative research methods and related software. Preferably first teaching experience
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United States of America, including several Indigenous communities. The project relies on a range of ethnographic methods, including art-based approaches to elicit participation, and community specific dialogues that seek
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asset. Familiarity with quantitative text analysis procedures is considered an advantage. Familiarity with digital tools, including computational methods for textual analysis, will be an advantage