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considered an advantage: Density Functional Theory (DFT), Molecular dynamics simulations, Machine learning methods for materials modelling, Computational materials science, Organic or hybrid materials
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application! Work assignments Research focus: implementation of an evidence-based digital support programme delivered through 1177 for informal caregivers of people with heart failure, combined with user
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practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high-dimensional
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The LiLAC-HF trial is a multicentre randomised controlled trial evaluating the LiLAC programme, a nurse-led, lung fluid-guided heart failure management programme delivered in primary care. The programme
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As a postdoctoral researcher, you will be part of a research programme focused on the prevention of cardiovascular disease, with particular emphasis on the causes and consequences of atherosclerosis
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You will be part of a research program that integrates experimental mouse models, patient material and cutting-edge technologies to study how the immune system can be harnessed to develop and improve
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, and the project has established methods support from the IT’IS Foundation and TI Solutions in Zurich (computational modelling) and Princeton University (MRI methodology). You will lead sub-studies
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addition to basic molecular biology (RT-qPCR, Western Blot, DNA cloning), the candidate must have experience with transcription factors profiling and single-cell transcriptomics analyses, and computational skills
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hold a doctoral degree awarded by a higher education institution other than Linköping University. We are looking for someone with a PhD in systems biology, bioinformatics, data science, computational
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is to engineer novel voltage-gated ion channels, to provide a new means of tuning cell electrical activity. The project will combine molecular biology, electrophysiology, computational modeling, and in