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• Knowledge of statistics and/or data science • Knowledge of Matlab, Python, or a similar programming language • Some research experience (e.g., in the form of a conference contribution, a publication, or a
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individual, group, and project-based teaching. Singing, musical coaching, acting technique, and language, together with stage productions and concerts, form the cornerstones of the program. Work with
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written and spoken English in agreement with the admission criteria for the PhD program. Grade requirements The average grade point for courses included in the Master’s degree in the Norwegian educational
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your master´s degree programme taught fully in English. Scans of original bachelor's and master's qualification documents and their English translations (if not provided by the awarding institution
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Starting Date 17 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number ZKTS.110.1.2025 Is the Job related to staff position within a Research
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, computational modelling, digital ethnography and design research. It is a highly interdisciplinary program, including communication and cognitive science with AI and (computational) linguistics, human-computer
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Are you eager to jump-start your career in Programming Languages and do you want to contribute to the exciting new area of Differential and Probabilistic Programming? As a PhD candidate in the ERC
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 8 days ago
2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description NOTICE
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Neuroscience, or other relevant areas. Experience with brain signal analysis. Strong background in programming and statistical analysis. Excellent written and oral communication skills in English. Specific
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program characteristics. You will conduct a series of studies: a literature review on the factors causing language-related degree-awarding gaps; constructing and analyzing a large set of student data (in