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Sweden’s national infrastructure for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image
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adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
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Assistant/Research Assistant I in the Department of Medicine, School of Clinical Medicine (Ref.: 533086) We now invite applications for the captioned post. Duties and Responsibilities Perform data analysis
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visual and auditory cortices using techniques such as cross-modal decoding, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform
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equality and diversity as a strength and an asset. Description of the workplace InfraVis is Sweden’s national infrastructure for visualization of scientific data. Currently, InfraVis employs over 50 experts
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. Perform sensitivity analysis, parameter estimation, and uncertainty quantification utilizing multiscale experimental data. Collaborate closely with experimentalists to iteratively refine models and optimize
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contributing effectively to a collaborative research team Knowledge, Skills and Experience Experience applying qualitative research methods for data collection (e.g., interviews or focus groups) and analysis
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the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and
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will be able to transcribe and translate interviews and photovoice sessions. Assist and launch the project website. Analyze qualitative data in thematic analysis. Assist writing articles. Artistic visual
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background in solar data analysis or simulations is helpful, but not mandatory. Proficiency in written and spoken English. The employment contract will include a probationary period of six months