9 post-doc-in-wireless-communication-and-networks-2016 Fellowship positions at INESC TEC
-
for these systems, such as pruning, knowledge distillation or quantization rely on the development of less complex neural networks. However, less complexity can imply hidden sacrifices and drawbacks. As such
-
for these systems, such as pruning, knowledge distillation or quantization rely on the development of less complex neural networks. However, less complexity can imply hidden sacrifices and drawbacks. As such
-
TRAINING: Hydrogen presents itself as a solid and more efficient alternative for generating green energy and could be introduced into the natural gas network replacing some or all of its current components
-
communities and all its assets, while exploring the viability of alternative associated business models. This will be accomplished by focusing on:; 1. Optimization - flexibility variable to improve energy
-
); Minimum requirements: - Knowledge in one programming language - Basic knowledge in data analysis, ICT and IoT 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding
-
of Higher Education Institutions. Preference factors: - Experience with the Python programming language.; - Experience in developing and applying deep learning models.; - Experience using federated learning
-
systems.; The aim of this grant is to develop optimized interrogation and communication tools for the various types of optical sensors to be developed.; 4. REQUIRED PROFILE: Admission requirements: Master
-
; - Knowledge in NLP and Machine Learning; - Good communication and teamwork skills; - Knowledge of programming languages such as Python and R and development tools such as Git; - Degree score equal
-
of Higher Education Institutions. Preference factors: - Experience with the C or C++ programming language; - Experience on system's benchmarking.; Minimum requirements: - Solid knowledge on storage systems