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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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and in a team Desirable: Experience with optics, cryogenics, or scanning probe techniques Knowledge of nanofabrication or cleanroom methods Programming skills for data acquisition and analysis A fully
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errors and whether some analysis configurations can minimize this impact. This step is particularly motivated by the additional 7 years since the ICRF3 production and by the increasing rate of data
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for safe, smart, green, resilient, and inclusive cities, with pilot demonstrations in Rome, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes. The PhD project will involve: The use of data
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with academics or to attend conferences and data gathering and analysis performed by professional companies or private individuals on behalf of the graduate researcher. Conditions The Arts PhD Fieldwork
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, data analysis, and scientific writing and communication. Experience in working in an optics lab and programming in Python will be beneficial but is not necessary. Applicants should have, or expect
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expertise, this may involve: Neurological data collection Neuropsychological assessment of young children (<3 years) Coordination and practical organization of study activities Data analysis using advanced
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the exploitation of open-source software platform specifically designed for the analysis and interpretation of metaproteomics data Attending a one-month secondment to learn about colon cancer, immunotherapy, dietary
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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., behavior change, social action). The PhD candidate will primarily conduct quantitative research, including the design and analysis of survey and experimental studies. The PhD will be based in