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, geneticists, and other colleagues in the Centre to develop and implement robust machine learning frameworks and pipelines focused on disease evolution prediction; Interpreting results and communicating findings
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., Xarray, PyTorch/Scikit-learn). Methodology: Strong background in data classification and advanced Machine Learning. Soft Skills: Excellent communication skills, a collaborative mindset, and a desire to
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rendering, Gaussian splatting, etc.). Knowledge of graph neural networks. Experience in deploying and fine-tuning DL models, also large language or vision-language models. Practical experience on deploying ML
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communication skills in English ADDITIONAL SKILLS Further experimental skills Strong problem-solving attitude High motivation to learn Spirit of innovation and creativity Good at time and priority management
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to work as part of a multi-disciplinary team. Good oral and written communication skills in English are essential. LanguagesENGLISHLevelGood Research FieldComputer science » CyberneticsYears
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, and a dynamic community of innovators and entrepreneurs. Comprehensive support and resources: We provide competitive compensation packages and full support for conference travel and professional