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relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses
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Gaussian Splatting algorithms, neural rendering pipelines, and city-scale digital twins. A critical component of this role is leveraging Principal Investigator (PI) status to independently pursue and secure
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experiments in humans Develop real-time signal processing and closed-loop control algorithms Contract terms The Doctoral student positions are fully funded from start. The position is a fixed-term appointment
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science SEAL (School of Excellence in Arctic and Antarctic Learning ). Improve and test algorithms for retrieval of sea ice drift, sea ice deformation, winds and sea surface currents from satellite data
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: The successful candidate must hold a completed diploma or master’s degree in mathematics Knowledge of and experience in computer algebra and algorithmic algebraic geometry International experience Enthusiasm
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following areas: Strong foundation in machine learning, optimization, and deep learning algorithms, including Transformer architectures. Hands-on experience or solid theoretical knowledge of LLMs/SLMs
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. The PhD candidate will join the team Methods and Algorithms for Bioinformatics (MAB). - Supervision: - Dr Eric Rivals, HdR, (LIRMM), CNRS Research Director in computer science and bioinformatics (web https
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associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA
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models, report formats and other analysis considerations, determine and write statistical considerations and algorithms for protocol documents according to study design and appropriate statistical methods
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(Anthropic, OpenAI). Experience with graph algorithms or NetworkX. Familiarity with adaptive learning or educational technology. Experience with WebAssembly technologies (Pyodide, WebR). OAuth2 authentication