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Portugal. Proficient in Portuguese and English. WORK PLAN: ………………………………………………………………….…………………..................……..................…….................... The postdoctoral researcher will be responsible
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for their own research or professional development related to museum practice. Qualifications Minimum Qualifications: PhD in art history (received within the last five years) from an accredited institution in
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to museum practice. Qualifications Minimum Qualifications PhD in art history (received within the last five years) from an accredited institution in the U.S. or Europe. Reading knowledge of at least two
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the field; (v) demonstrated leadership in research projects; and (vi) fluency of written and spoken English required. Candidates should have obtained / been conferred a PhD degree or an equivalent
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(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu ) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant Funded Yes
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
facilities in Porto, Portugal. 4. Admission Requirements: Candidates must be enrolled in a PhD programme. 5. Academic Qualifications and Candidate Profile: Master's degree in Environmental Engineering
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scale of 0 to 5 values. A - Applicant Merit - AM (100%): A1 - Academic path (considering the classifications of academic degrees), with a weighting of 50%; A2 - Personal curriculum (considering
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or higher) and personal accident insurance. Exclusivity regime: The grantee will perform the activities under exclusivity, as foreseen in article 5 of the Research Fellow Statutes and applicable regulations
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paragraphs 1 and 2 of Article 5 of the University of the Algarve’s Research Fellowship Regulations: “1. Research grants, hereinafter referred to as BI, are intended for R&D activities by students enrolled in
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measurement science research in robotics, advanced autonomy, and artificial intelligence systems. Utilizing deep learning, large language models (LLMs), reinforcement learning, and unsupervised machine learning