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Field
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-climate interactions. For this purpose, it has developed its own dedicated global model SOCOL, which can interactively treat all processes and major feedbacks related to the ozone layer and atmospheric
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-chemistry data input into a global chemistry-climate model. Research Objectives: Measure the processing of HCl on aluminum-containing particles Measure the ability of these particles to freeze H2SO4/HNO3/H2O
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the head of the institution responsible for opening the competition procedure; the final decision on hiring shall be the responsibility of the head of the contracting entity. 15. Composition of the Jury
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 17 hours ago
enrolled at a PhD. Selection process Selection methods: The selection methods will be the following: Curriculum evaluation, with the respective weight of 100% Composition of the selection Jury: Professor
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 17 hours ago
engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 19 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 17 hours ago
evaluation (70%) Motivation Letter (30%) Individual Interview (as a tie-break procedure), to be conducted online Composition of the selection Jury: Dr. Lucas Pereira (President), Prof. Hugo Morais, Prof
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4 Jan 2026 Job Information Organisation/Company INESC TEC Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1
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, through national funds, under the following conditions: Scientific Area: Electrical and Computer Engineering Admission Requirements: Candidates who cumulatively meet the following requirements may apply
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
Thermography. This raw dataset is needed to be processed and annotated to train supervised and unsupervised AI models. The research will aim to develop deep learning algorithms for damage classification
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properties through tuning of concentrations and types of viscosity modifiers and superplasticizers, deep learning modeling of parameters of cement composites. The project is realized at the Bydgoszcz