TECHNICAL UNIVERSITY OF CARTAGENA APPROVES THE REGULATORY RULES AND THE CALL FOR TENDERS FOR THE CONTRACTING OF TECHNICAL SUPPORT PERSONNEL GROUP I IN THE RESEARCH LINE INTELLIGENT MICROSCOPY SYSTEM FOR THE CLASSIFICATION OF UNDERWATER MARINE ANIMALS. LAB. ARTIFICIAL VISION AND INTELLIGENT VEHICLES. DSIE.(C-093 /24). Deadline for submission of applications: 3 December to 13 December. CATEGORY: GROUP I. Graduate (Bachelor's degree, Engineer, Architect or equivalent). REQUIRED QUALIFICATION: Degree in Industrial Technologies Engineering. In the event of not possessing the required academic qualifications, candidates with training and experience in accordance with the tasks to be carried out and the merits to be assessed may be admitted: Training courses and/or subjects of official university degrees related to programming in languages such as C, C# or Python and knowledge of computer vision. Professional experience in programming in languages such as C, C# or Python and knowledge of computer vision. DEDICATION: Part-time 17.5 hours/week. Monday to Friday from 10:00 to 13:30h. GROSS ANNUAL REMUNERATION: The employee shall receive a gross annual remuneration of 14,805.91 euros. PROJECT TITLE: 'Complementary Plan in the area of Marine Sciences, funded by the Autonomous Community of the Region of Murcia through the Séneca Foundation - Science and Technology Agency of the Region of Murcia and the European Union programme NextGenerationEUXXX'. DURATION: The contract to be concluded will be for a fixed term, 9 months from the formalisation of the contract, extendable depending on budget availability, and may not exceed the end date of the project. TASKS TO BE CARRIED OUT: Collection of information and creation of a plankton dataset. Selection and implementation of pre-entrant models based on deep-learning and computer vision techniques for plankton classification. Design and implementation of customised models based on deep-learning and computer vision techniques for plankton classification. Design and implementation of an embedded system based on AI and computer vision for plankton classification. Equipment management and procurement. PLACE OF WORK: ETSIT and ELDI building (Artificial Vision and Intelligent Vehicles Laboratory). #J-18808-Ljbffr