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Degree PhD – Dr rer nat Doctoral degree or degree awarded by Ludwig Maximilians University of Munich or Technical University of Munich Course location München In cooperation with LMU Munich, Max
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Integration & Word LearningThis PhD project investigates how attention to multimodal signals contributes to word acquisition. You will analyse: word-learning trajectories across repeated exposures; the role
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Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number PHD GSO 019-26 Is the Job related to staff position within a Research
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website
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as a comprehensive university allows for multidisciplinary learning and teaching, in turn paving the way for internationally renowned, interdisciplinary research. Almost all of its faculties and
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other courses, for instance on European law in general, at the Bachelor’s and Master’s level; Co-supervising Master and PhD students. Research Conducting research in the area of European Environmental and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 16 days ago
of the Cluster IA ENACT project (https://cluster-ia-enact.ai/ ) that is funding this PhD thesis. In the chair, she wants to push the research in Natural Language to assist humans in different scenarios
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The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to francesco.deluca@taltech.ee CV Motivation letter
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evolution of life from ancient Palaeozoic times to the current Anthropocene. The group currently includes a motivated cohort of PhD students, MSc students and postdocs working on various aspects of (micro
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& Quant Foundations Salary Salary:$62,232.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: Introduction: The University of Iowa’s Advanced Learning