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Field
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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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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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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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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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(Anthropic, OpenAI). Experience with graph algorithms or NetworkX. Familiarity with adaptive learning or educational technology. Experience with WebAssembly technologies (Pyodide, WebR). OAuth2 authentication
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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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Details A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project focuses on the development of advanced models and algorithms