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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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European Organisation for Astronomical Research in the Southern Hemisphere | Garching an der Alz, Bayern | Germany | 11 days ago
implementation of a novel metrology system to enable microarcsecond astrometry. More details on the project are available here: https://exogravity.obspm.fr/planetes A PhD studentship in the framework
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22 Dec 2025 Job Information Organisation/Company CSIC Department Desertification Research Centre (CIDE) Research Field Geosciences » Hydrology Researcher Profile First Stage Researcher (R1
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Depressive Disorder (MDD) and advance patient-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD
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are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology
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Council (MRC), including pilot/feasibility to definitive trials and fellowships that typically involve trials or epidemiology using big data. There are excellent opportunities to develop, lead and apply
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engineeringYears of Research ExperienceNone Research FieldPhysics » AcousticsYears of Research ExperienceNone Additional Information Eligibility criteria The candidate must hold a PhD in one or more of the following
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) Experience in running large-scale simulations on HPC systems with heterogeneous hardware, using CPUs/GPUs, and in analyzing complex, multi-modal data A generalist with an interest to solve challenges using a
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employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ This is a joint PhD position with the Umeå Centre for Gender Studies
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experiments, behavioral research, econometric and causal inference approaches, optimization and analytical modeling, and data-driven techniques such as machine learning and large language models. Our work is