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, modeling and simulation of industrial processes. Proficiency in chemical process simulation software (e.g., gPROMS, Aspen, DWSIM, UNISIMDESIGN). Strong programming skills in Python aConditions: The person
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, modeling and simulation of industrial processes. Proficiency in chemical process simulation software (e.g., gPROMS, Aspen, DWSIM, UNISIMDESIGN). Strong programming skills in Python and/or MATLAB
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Engineering, Electronics, Industrial Computing, or related fields, and demonstrate proven skills in: Embedded systems (MCU programming, tinyML); Programming in C/C++ and/or Python; Integration of sensor systems
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the previous point. 10 - Submission of Applications: 10.1 Applications must be submitted exclusively by electronic means, through a completed and signed application form, available at the following link: https
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AI and in silico methods (Ref. LISBOA2030-FEDER-00719600; 2023.18347.ICDT and DOI https://doi.org/10.54499/2023.18347.ICDT ), co-funded by Lisboa2030, Portugal2030 and by the European Union and by
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Reference Number AE2026-0030 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0030.pdf CALL FOR
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: Preference will be given to candidates with knowledge of Python programming, web technology development, and data management in IoT environments, particularly those with experience in Kibana, Apache Kafka
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of the assessment described under Section 5 below. 2.3 — The compulsory application minute, to be completely filled out, dated, and signed, is available at https://www.ua.pt/file/78384 . 2.4 — Submission
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for Civil Engineering, I.P. Avenida do Brasil, 101 – 1700-066 Lisboa Country: Portugal Website: https://www.lnec.pt Email: recrutamento@lnec.pt The research activities shall be carried out at the Scientific
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field. priority will be given to candidates with: skills in programming languages and/or tools, such as python, c++, and/or matlab; basic knowledge of artificial intelligence techniques; knowledge