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submission: The call is open from the 15/09/2025 to 26/09/2025. Documentation to be provided at the time of application: Applications must be formalized by sending the following documents: i) Detailed
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with an R&D unit, focused on cross-disciplinary research skills in the areas of food, innovation, and sustainability. Experience in: a) Liquid and solid phase extraction methods for plant metabolites and
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the provisions of Decree-Law no. 341/2007 of October 12th, and all formalities established therein must be complied with at the signature of Fellowship contract. Working plan: The selected candidate will be
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factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and
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to candidates with experience in research projects in the field of education sciences, knowledge of coastal dynamics, experience with data collection methods in the social sciences, and science communication
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of social sciences, technology, programming, and statistical methods, allow us to bridge the gap between organizations and technology that generates processes and uses data for creating impact. By joining DOT
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
Mecânica e Engenharia Industrial announces an open call for an open call for a PhD student in the scope of the Programme - COMPETE2030-FEDER-00631200 – 00631200/14617- LMMCODSS - Sistema de Apoio à decisão
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: Level A academic appointment - from $109,272 to $117,108 p.a. (Steps 6–8, PhD awarded rate) • Appointment Type: Full-time, fixed-term position for 1 year (with possibility of extension) • Location
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administrative tasks. Required Qualifications PhD in Clinical Psychology, Experimental Psychology, Neuroscience, or a closely related field (to be completed by the start date). PhD must have been received within
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) Bruna Riboldi – Effective member (PhD, Data, Operations & Technology Knowledge Center) Rodrigo Belo – Effective member (Professor, Academic Director Data, Operations & Technology Knowledge Center) Lénia