10 phd-in-simulation-engineer Postdoctoral research jobs at Nature Careers in Denmark
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. A scanned copy of the final degree (PhD or equivalent) certificate. If the degree is not yet awarded, it is sufficient to mention in the cover letter when the applicant expects to submit the thesis
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of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts are supported by
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
In the intersection between combatting climate change and world hunger, a new technology has emerged that enables food (protein) to be made from air (CO2) using nature’s own principles. The novel
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Carbon Capture System Design, Operation, and Test The ideal candidate should have all or several of the following academic and personal qualifications: A PhD in chemical engineering, process engineering
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on understanding and controlling the structure of the casein micelle (CM), a key component in dairy systems, under various simulated processing conditions. The project will be caried out in close collaboration with
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a final report. Active collaboration with project partners is also expected. Your profile Applicants should hold a PhD in mechanical engineering at the time of starting the position. The selected
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured light-trapping
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cooperate on teaching Your profile We are searching for a highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar Research experience on process
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to integrate various structural biology data (NMR, SAXS, FRET, EPR) as well as computational models and simulations to create and interpret conformational ensembles of disordered protein regions, with the goal