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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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provide a creative, nurturing campus environment where our students can become the best individuals possible, learn from the best and brightest faculty, and make a positive difference in the community
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response with fMRI in the context of different cognitive paradigms. What you’ll be doing Conducting data collection and analysis Writing of scientific papers; Presenting your findings; Teaching at Bachelor’s
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early differences in learning predict language and social skills later. Insights from this project can provide knowledge for early interventions to foster learning in infancy, with potential to support
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orders. Using 3D field recordings and environmental monitoring, you will uncover how different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the
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differences in ecologically and economically relevant life history traits are regulated at the molecular level. Variation in a key Atlantic salmon life history trait, maturity age, is strongly influenced by
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the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will strengthen the data science and machine learning activities of the IAS-9 with
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with society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable
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data science and machine learning Additional software skills such as Shiny, LaTeX, Tidyverse, Tableau, C/C++, Java, GitHub Experience in report writing for projects underpinned statistics Attributes and
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‘Media Arts and Immersion’ and ‘Media Archaeology’, and will have the full support of well-equipped VR and Sound studios. The Université Bourgogne Europe offers 400 different degrees across all levels (950