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Experience in analysing high-dimensional and spatial data, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full
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measurement techniques Experience with electromagnetic simulation tools such as Sonnet, Ansys HFSS, Lumerical, or similar platforms Experience with data acquisition, instrument control, and data analysis in
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interventions. Excellent command of advanced statistical methods, including longitudinal data analysis and complex multivariate analyses (e.g., structural equation modelling, SEM). Experience working
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in patients with Alzheimer’s disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel
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, regulation of gene expression using recombinant AAV viruses, proteomics, RNA sequencing, complex biochemistry, neurotransmitter analysis, confocal microscopy, and cell culture. By joining the project, you will
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analysis, discussion of results and proposal of new experiments and approaches. He will be asked to obtain and analyze optical and confocal microscopy images and to develop radiochemical and immunochemical
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with experimental and clinical teams. Primary Responsibilities * Lead computational analysis of large-scale multi-omics datasets, including transcriptomic, epigenomic (DNA methylation, chromatin
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/analysis. Experience working in Agile/SCRUM teams. Excellent written and oral communication skills. Motivated and conscientious self-starter with the ability to work independently, follow-up on all action
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evolution, phase stress, and defect evolution using advanced data analysis tools. Perform alloy fabrication and processing (e.g., arc melting, heat treatment) and relate processing to performance. Apply
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Stimulation (TMS), Magnetic Resonance Imaging (MRI), Electroencephalography (EEG), and Electromyography (EMG). The role involves the acquisition, processing, and analysis of signal data, the application