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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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collaboration with leading industrial and academic partners within large-scale Horizon Europe initiatives, where LTU plays a key role in both technical development and scientific coordination. In parallel with
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relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc. software and parallel computing is required. Skills in data processing and visualizing the results
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initiatives, where LTU plays a key role in both technical development and scientific coordination. In parallel with project work, you will also contribute to research activities within the AIC³ lab (Automation
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lead sophisticated multimodal bioinformatics integration and analysis, collaborating daily with a diverse team of computational scientists and clinicians to translate complex data into actionable cancer
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control technology and computer algorithms to develop a foundational discovery platform for future cell programming applications. This position involves both experimental and computational work
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molecular life sciences. Our research and education focuses on a deep understanding of chemical and biological processes in cells and in the environment. We are responsible for postgraduate education in
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, bioinformatics, or biostatistics. Practical experience within the respiratory field, with a combination of wet-lab and biostatistics/bioinformatics experience is desirable. Specific experience with lung samples
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community for interdisciplinary research and breakthrough discoveries. You will have access to two PI:s that you can meet and interact with to facilitate the research process and increase the synergetic
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, including finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks