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for the amount corresponding to the Voluntary Social Security, in case of adherence to this plan.3 11. Selection methods: The selection methods to be used will be the following: Documentary evaluation (AC), with
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areas of demography from an international perspective and demonstrate excellence in formal demography and demographic methods. The Department of Demography (https://demografie.univie.ac.at
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physiology and biochemistry. - We will value positively any knowledge or previous experience in laboratory analyses for the quantification of plant metabolites, plant phenotyping methods or biostatistics/data
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methods: The selection methods to be used will be the following: curriculum vitae assessment and experience in modifying natural compounds and experience in cell culture for the development of biomaterials
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will pioneer
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contract may not be renewed. Applications must be formally submitted by email and must include identification and contact details, together with the following documents: (1) Curriculum Vitae; (2) cover
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Portugal (https://www.fct.pt/wp-content/uploads/2025/02/Tabela_valores_SMM_2025.pdf ), payments being made monthly, by check or bank transfer. Selection methods: The selection methods to be used are as
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 5 days ago
; secondary data analysis; longitudinal data analysis, meta-analysis; clinical trials; qualitative methodologies; or mixed methods. The Department seeks to identify successful candidates with demonstrated
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the terms of the applicable legislation. This formality must be completed by the signing date of the contract. 4.1. General admission requirements are those defined in point 4. For the purpose of determining
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 13 days ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project