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friction models. Integrating Experimental Data: Collaborate with experimental teams to incorporate data from calcium imaging, confocal microscopy, and high-resolution video recordings. Use experimental data
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Design and conduct analyses linking vocal biomarkers to validated psychological scales (e.g., PAID, PHQ-9, GAD-7). Apply natural language processing (NLP) and AI techniques to large-scale audio datasets
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English Candidates with experience in cell culture are encouraged to apply. Experience with imaging, molecular biology, hydrogels, chemistry, microfabrication and microfluidics are highly desirable
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: Programming in Python and/or R Data science (e.g., tidyverse, pandas) Machine learning (e.g., scikit-learn) Deep learning (e.g., PyTorch, Keras3) (Optional) bio-signal processing and brain imaging (e.g., EEG
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number of techniques routinely used in the lab including histology, confocal microscopy and image processing. Prior expertise in cell culture, image analysis and coding would be highly appreciated. Part of
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Description of the offer : During this PhD thesis, we propose to explore the properties of exotic antiferromagnetism, in non-collinear antiferromagnets like Mn3Sn or in altermagnets. We will image
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stacking, both high performance and (very) high density can be achieved by this concept. The mission will be to explore, understand and develop the fundamental physics of device operation. This will require
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implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
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the list of publications Cover letter Copies of previous degrees Names and contact details of two academic referees Early application is highly encouraged, as the applications will be processed upon
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from