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the job profile (sections 2 and 3 of this annex), as well as to: Programming in Python Use of machine learning libraries: TensorFlow, PyTorch and scikit-learn Development of supervised and unsupervised
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invites applications for tenure-track (Assistant Professor) faculty positions. We are primarily interested in recruiting excellent candidates in the areas of: Machine Learning, including Formal Reasoning
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of research staff (contract type: open-ended contract; job category: senior technologist) to collaborate with the funded line of research “Machine learning methods and models for acoustic and sound signals
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causal modelling. Provide methodological and analytical support to projects aimed at personalised and predictive medicine. Application of artificial intelligence: Provide support in AI and machine learning
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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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Nanotechnology or similar Knowledge andprofessional experience: Knowledge of machine learning and active learning in material science. Experience working in multidisciplinary environment. Personal Competences
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of relational and non-relational databases Knowledge of cloud-based architectures. Knowledge of Artificial Intelligence and Machine Learning. Ability to analyze the environment and take initiative to generate
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dedicated to discovering and refining the core mechanisms that will enable machines to learn continuously, make robust decisions in complex environments, and evolve autonomously. Key research directions
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, IMC). Experience with image analysis software or libraries (e.g., Napari, ImageJ, scikit-image). Familiarity with machine learning concepts and their application in biology. We Offer: Number
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the application). OTHER REQUIREMENTS Training as a Biologist specializing in Immunology (Proof must be provided with the application). University training in Machine Learning (Proof must be provided with