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under the mentorship of the project director, Prof. Simon DeDeo, and a board of advisors in mathematics (Akshay Venkatesh, Michael Harris, Simon Rubinstein-Salzedo), computer science (Dana Randall, Scott
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using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning models to predict optimal rehabilitation solutions; (b) use AI algorithms to detect
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secure, regulatory-compliant development platforms capable of ingesting, curating and continuously learning from multi-center hepatocellular carcinoma datasets; (c) create innovative algorithms/systems
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Systems”. The objectives of this work consist of: (a) analyzing historical consumption data to identify patterns and guide the selection of suitable AI algorithms; (b) studying and applying advanced machine
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addressed to the President of the Competition evaluation panel, and may be sent by post to the following address: Attn: Prof. Simão Melo de Sousa, Universidade do Algarve, Faculdade de Ciências e Tecnologia
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, dated and signed, must be addressed to the President of the Competition evaluation panel, and may be sent by post to the following address: Attn: Prof. Simão Melo de Sousa, Universidade do Algarve
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contact: Prof. Alf Inge Wang, email: alfw@ntnu.no. If you have any questions about the recruitment process, please contact the HR of the Dept. of CS, e-mail: hr@idi.ntnu.no. Application deadline: 15.12.2025
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of algorithms, data models, and interfaces. Research and selection of the tools and technologies to be used. • Initial development and prototyping: Start of development of the core components of the malicious
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. • Design and specification: Definition of the detailed architecture of the modules associated with the detection of malicious activities. Specification of algorithms, data models, and interfaces. Research
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University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry and Machine Learning, with a focus on studying geometric structures in data and