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- International Iberian Nanotechnology Laboratory (INL)
- Instituto Politécnico de Bragança
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- Centro de Estudos Sociais da Universidade de Coimbra
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application d) Previous experience with computational modelling and machine learning. Additional optional skills and qualifications: Experience with Soft and Living Matter. Contracting requirements
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of Computer Science and Electrical and Computer Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy Societal digital
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engineeringEducation LevelPhD or equivalent Skills/Qualifications Admission Requirements a) to hold a PhD degree obtained in the 3 years previously to the submission of the fellowship applicationb) to have carried out
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) demonstration of oral and written language proficiency in English (with reference to the context where the candidate learned and perfected the language use); b) Detailed Curriculum Vitae; c) Copies of PhD degree
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Researcher (R2) Positions PhD Positions Application Deadline 20 Sep 2026 - 23:00 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through
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equations, numerical analysis, mathematicalmodels in biomedicine, biostatistics, machine learning, statistical learning, multivariate statistics, time series,mathematical modelling, generalized linear models
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Science, Technology and Higher Education”, under the following conditions: 1. Scientific Area: Molecular Biology 2. Admission Requirements: 1) PhD in Molecular Biology, Genomics, or related fields
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Additional Information Eligibility criteria - The PhD must have been obtained in the last 3 years and the research work shouldn't have been developed at IT, along with the other conditions set by
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models for the fire resistance of LSF walls, including the development of machine learning models, experimental testing, and numerical simulations, within the project “FireLSF – Development of Predictive
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Europe”, under the following conditions: 1. Scientific Area: Forest Ecosystem Services 2. Admission Requirements: - PhD in forestry sciences, agricultural sciences, biology, ecology or related scientific