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you be part of that change? Then join us in this unique program! At Uppsala University, we are announcing the position as DDLS PhD student in data-driven precision medicine and diagnostics. Data-driven
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accessible using single modalities. Importantly, this approach needs to be reconsidered and adapted for the developing brain. To do so, we will use high-quality MRI data in a large cohort of infants (N~1000
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within livestock environments contains a wealth of information about animal behaviour, health and emotional state, yet it remains relatively under-utilised in commercial dairy systems. This PhD will
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17 Mar 2026 Job Information Organisation/Company cnrs Department lem3 Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Jun
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scope of the PhD position(s) fall within the areas of novel low-complexity neural network architectures, generative audio techniques, and the integration of large language and speech foundation models
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Health emergencies, mass casualty events and disasters generate large volumes of operational, clinical and organisational data. However, these data are rarely synthesised into structured, analysable
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 hours ago
dynamics data and advanced graph-based deep learning models to decode long-range communication pathways within macromolecular complexes. The PhD candidate will play a central role in this effort by
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a vacancy for a PhD position at the Department of Information and Media Studies. The position is for a fixed-term period of 4 years, of which 25% will be dedicated to teaching, supervision and
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. RESPONSIBILITIES: Implementing laboratory and computational workflows for large-scale biological studies Collecting experimental and high-throughput data Characterisation of molecular and cellular mechanisms
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information about PhD position: https://fem.uniag.sk/en/doctoral-study-information https://fem.uniag.sk/sk/doktorandske-studium Additional research info: radovan.savov@uniag.sk Additional admin info