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to or higher than 14 (out of 20). Applicants must also be enrolled in a Master’s programme in Computer Engineering (or a related field). 2. Work Plan: The research fellow will contribute to the development and
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(R1) Admission requirements: 1 - Bachelor's degree in Computer Engineering or similar areas* 2 - Experience in the use of Large Language Models (LLMs) and multi-agent platforms for the creation
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metrics for determining the output of a machine learning model, capable of assessing the reliability of a given input/output. 2. State of the art regarding non-invasive blood pressure estimation, focusing
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into consideration. Please submit your complete application by sending it to secai-office@tu-dresden.de , preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de . Application Deadline