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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 3 hours ago
in the context of this hiring procedure can take place by electronic mail, to the electronic address indicated in that application form. 8.2 The application shall be accompanied by documents proving
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 26 days ago
, of the Institute of Systems and Computer Engineering of Coimbra (INESC Coimbra), BI Refª15194/HumanIoT.1/2025, with financial support from FEDER, under the following conditions: Scientific Area: Internet of Things
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requirements: Candidates must have a degree in Computer Engineering, Information Systems Engineering and Management or related areas. Priority will be given to candidates with knowledge/experience in: Some
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competitive national or international competitions; Patents registered or in the process of being registered; For the purposes of complying with the above requirement, each publication in a journal indexed in
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provided for the convenience of non-Portuguese speakers. However, only the full Portuguese version has official value for the evaluation and selection process. Employer Instituto de Telecomunicações
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Innovation and Civil Law; Copyright. This procedure is ruled by article 37 and following of ECDU, as well as by the Regulation of the University Teaching Career Recruitment Calls at NOVA University, Lisbon
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as the first or last author; Coordination of research projects funded in competitive national or international competitions; Patents registered or in the process of being registered; For the purposes
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for Histology and Transmission Electron Microscopy (TEM), such as fixation, embedding, and sectioning; Operation of the Scanning Electron Microscopy (SEM) equipment; Train researchers in the use of the SEM
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/ Qualifications Master or PhD holder in the areas of Computer Science, Robotics, Electrical and Computer Engineering, Engineering Physics or a related area (see selection criteria). Candidates with a Doctoral
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to candidates with knowledge/experience in: • Data processing and analysis technologies. • Familiarity with Multi-Objective Intelligent Optimisation algorithms (e.g., NSGA-II). • Python programming languages