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Languages (HDL) such as Verilog / VHDL/HLS, with previous experience designing FPGA-based systems using Xilinx tools. Knowledge in the design and synthesis of Coarse-Grained Reconfigurable Arrays (CGRA
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). The project’s objective is to study and propose strategies to extract knowledge of the relationship between meta-features of one or more datasets and the algorithmic performance of Machine Learning (ML
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must be obtained less than 7 years ago; Desired knowledge: Solid knowledge in digital and wireless communication, physical layer of wireless communication systems, multicarrier waveforms, MIMO
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be calculated, as well as a thorough analysis of the quality of the extracted oil. Previous knowledge of: vegetable oils and fats; mass transfer concepts; extraction processes, mainly solid-liquid and
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mining-related journals with high-impact factors; • Very good knowledge of written and spoken English (Portuguese is not required); • Strong background knowledge in machine learning, data mining and
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) of the University of São Paulo's Medical School (FMUSP) in Brazil. The candidate must have advanced knowledge in suicidology, research, leadership and team management, preferably of vulnerable communities
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safety professions”, which aims to analyze the relations of conflict, cooperation and competition between professionals, interests and police and legal knowledge around the legal regulation and
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English; (ii) Previous experience in deep learning systems for CV (object detection, tracking and/or segmentation); (iii) Knowledge of the Python programming language and deep learning frameworks
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attributes: - Knowledge in digital agriculture concepts; - Ability to work in an interdisciplinary team; - Good oral and written communication skills; - Good reading, writing and interpretation proficiency in
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Engineering” should have experience in the interface between mechanical engineering and materials science, or related fields. The desired skills for the fellowship candidate include: 1) Integrating knowledge