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summarised by the following keywords: electrical energy, materials, innovative processes and systems, modelling and design. With over a hundred permanent staff, around a hundred PhD students and 70 other
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on Earth. We have computational capabilities that are designed to process millions of tasks in parallel, allowing the entire body to function under extremely variable conditions. Our organ of vision
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across time and contexts. Job Description: You will develop and apply mathematical models and machine learning algorithms to analyze the structure and evolution of knowledge systems across different
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techniques with the constraints of silicon processes. In parallel, you will develop on-chip antenna structures, performing full-wave EM simulations and translating these designs into manufacturable layouts
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commercial electronic design libraries, combining high-frequency circuit techniques with the constraints of silicon processes. In parallel, you will develop on-chip antenna structures, performing full-wave EM
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research project (e.g. PhD in physical chemistry, chemical physics, computational chemistry or relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc
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sustainable future together, we wish to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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available. In parallel, we prospectively collect skin biopsies from well-phenotyped Parkinson patients (ProPARK cohort). We generate well-defined iPSC. Using advanced genomics and proteomics we aim
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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