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), with the reference NORTE2030-FEDER-01632000, under the following conditions: SCIENTIFIC AREA Human Factors and Ergonomics. ADMISSION REQUIREMENTS 2.1 General requirements for application to a research
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 29 days ago
€ 5 billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail personal@hzdr.de Website https://www.hzdr.de/job2204e Requirements Additional Information
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 29 days ago
, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail personal@hzdr.de Website https://www.hzdr.de/job2199e Requirements Additional Information Website for additional job
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/58216179/view?w=2019-08-28 ; Regulation of Research Scholarships of the Science and Technology Foundation, I.P: https://dre.pt/application/conteudo/127238533 ; Regulation of Research Scholarships
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https://www.ess.ipp.pt/ess/recrutamento/bolsas-de-investigacao/bolsas-de-invest… Requirements Research FieldEnvironmental science » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications
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conditions: Scientific Area: Mechanical Engineering Admission requirements: Candidates who cumulatively meet the following two requirements may apply for this grant: Requirement 1: - Be a student enrolled in
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conditions: Scientific Area: Mechanical Engineering Admission requirements: Candidates who cumulatively meet the following two requirements may apply for this grant: Requirement 1: - Be a student enrolled in
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of Research Grants of NOVA.id.FCT – Association for Innovation and Development of FCT; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force. (https://www.fct.pt/apoios
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Regulations. Where to apply Website https://apply.uc.pt/IT137-26-74 Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number of offers
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supported by own funds of the Faculty of Engineering of the University of Porto, , under the following conditions: Scientific Area: Reinforcement Learning, Machine Learning Admission requirements: Candidates