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Field
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services for AUMOVIO through close collaboration with its business units. Key Responsibilities: Conducting the research in AI domains and formal methods Applying the developed research ideas and approaches
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should demonstrate methodological rigour and propose statistical methods appropriate to the research questions and data. Mixed-methods, qualitative, participatory, design-based, or intervention components
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products that incorporate museum collections and associated curation of specimens. Proposals that leverage an integrative approach combining traditional morphological methods with modern molecular or imaging
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humanities and computational methods. The Fellow will pursue an independent programme of research while participating fully in the intellectual life of the three host centres. Research Themes Projects should
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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English language skills. Proficiency in a Scandinavian language is considered an advantage. Meet the formal requirements for admission to USN’s doctoral programmes and the faculty’s doctoral program in Technology
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of Manchester. You will be responsible for: Design and deliver mixed-method research on the adoption and impact of AI tools in a large complex organisation, under the guidance of the Principal Investigator
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, biotechnology or similar). Demonstrated ability to design, plan and execute in vitro and in vivo experiments. Formal accreditation for work with animal models (e.g. FELASA C or equivalent) AND experience with
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Research and support positive outcomes for the project and research group. Key Responsibilities: Project performance AI method development Gathering of domain knowledge and formalization Writing of research
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(https://www.fct.pt/wp-content/uploads/2026/03/Tabela-de-Valores-SMM-2026.pdf ), the amount of the monthly maintenance allowance is € 1.090,98, being the payment method by Wire Transfer. Selection methods