Sort by
Refine Your Search
-
Listed
-
Field
-
factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
-
the system, converting mapped graphs to instruction sequences, and execute test programs ; Collaborate in writing scientific articles to disseminate results. ; 4. REQUIRED PROFILE: Admission requirements
-
addressed involve defining architectures and interfaces that enable interaction between language models and multiple data technologies, ensuring correct coordination, contextualization, and access control
-
that enable interaction between language models and multiple data technologies, ensuring the correct coordination, contextualisation, and control of access to information. Empirical studies will be used
-
annotation of experimental datasets.; - Suport the proper dataset storage and versioning in alignment with FAIR principles and project guidelines.; - Writing the scholarship activity report.; 4. REQUIRED
-
system that leverages multiple storage devices (local, remote, and disaggregated), such as persistent memory, NVMe SSDs, and CXL. The proposed solution should also consider the design of remote compression