Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
TEC. 2. OBJECTIVES: This project aims to compare advanced GANs for tabular data with open-source LLMs that can run on local computers. The goal is to see their strengths, differences, and how well
-
benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Design and implementation of concurrency control techniques in hash tables, covering fundamental operations - insertion, deletion, and
-
insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the specific scientific area of the scholarship; - identify and select the appropriate methods for the study in
-
areas. The candidates should also have an excellent academic and professional track record, be committed to work in a team and be highly motivated and oriented towards Science and Technology Management
-
/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: • modelling and optimisation of PCM thermal storage for buildings and industry use
-
) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Applying anomaly detection algorithms for streaming network data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND
-
) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Study appropriate methodologies and develop optical sensors for monitoring various water quality parameters.; Design
-
to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Study and improvement of developed
-
to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden the knowledge of the state
-
. OBJECTIVES: - To expand knowledge of the state of the art in the area of radar + video systems for motorcycles; - Identification and selection of the most adequate optimization methods to address the proposed