Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
the European Union through the COMPETE 2030 Programme, of Portugal 2030, under the following conditions: Scientific Area: Machine Learning Admission requirements: Candidates who cumulatively meet the following two
-
, Automation, Machine Learning and Artificial Intelligence, Sensor Networks, Hierarchical Decision and Control Systems, with a primary focus on manufacturing and autonomous systems. (1 to 5 points); C
-
also be expected to carry out physicochemical analyses to assess the stability and quality of treated substrates (e.g. pH, electrical conductivity, water retention capacity, textural assessment, organic
-
electrical and Computers Engineering - Specialization in Automation - lower than 13/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and
-
– up to 1.5 points; No – 0 points; iii. Attendance of courses in the area of computer simulation of the hygrothermal behaviour of building components and/or energy efficiency of buildings: Yes – up
-
motivation – [≥ 4 and ≤ 5] points; Good knowledge and motivation – [≥ 1 and < 4] points; Lack of knowledge or motivation – [≥ 0 and < 1] points. E-C2 – Attitude (assesses the candidate’s behaviour in terms
-
the main objectives are: i) evaluation of the resilient and long-term permanent deformation cyclic behaviour; ii) evaluation of quality control parameters; iii) constitutive modelling geotechnical parameters
-
points); b) Publications in the area of artificial intelligence, machine learning, computational simulation and multi-agent systems (maximum 5 points); c) Research experience in the project area (maximum