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(NC). In the project, we aim to establish a reliable analysis package for nitrocellulose. Your role is to develop and validate methods for the key properties of NC – including degree of substitution
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simulation and AI-supported data analysis are central tools. The work is carried out at the Department of Fibre and Polymer Technology and in collaboration with FOI and industrial partners. Qualifications
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small-scale nitration trials under controlled and safe conditions, analyse the resulting NC with the centre's analysis package and quantify the relationship between feedstock and NC properties. The work
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous
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to use data and modelling to make historic buildings energy efficient – without compromising their cultural value? Join the research project DASHER at KTH. DASHER (Data-driven Structured Historic Energy
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leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic
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spectroscopy. An innovative mindset and ability to work independently. Good collaborative skills and abilities and interest in working in a team. Great emphasis will be placed on personal skills. Join us at KTH
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/SEA), and programming or data analysis in Python, MATLAB, Julia or similar tools. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and
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Familiarity with performance modeling, analysis and optimization for heterogeneous architectures. Experience with developing code for: molecular dynamics, computational fluid dynamics, or quantum chemistry
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everyday tools. The position is biology-focused — you design and run experiments, interpret the results biologically, and collaborate with colleagues who handle the implementation and analysis work. We value