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Field
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, including technical reporting and presentations. Ability to collaborate effectively with multidisciplinary research teams. Good organizational and project management skills. Where to apply Website https
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Learning at the University of Oslo and UiT The Arctic University of Norway invites applications for eight PhD fellowships connected to interdisciplinary projects in knowledge-driven machine learning. Four
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. Ability to work independently whilst also leading teams and working collaboratively across different disciplines. Experience in applying for competitive funding and successfully managing research projects
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Conduct
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devoted to career-promoting tasks such as teaching, supervision, or other research-related duties outside the PhD project. Starting date by agreement, depending on the project. The place of work, either in
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, Industrial Engineering and Management, Strategy, Information Systems, Economics, Social Sciences or related disciplines relevant to the PhD project. Applicants with higher education completed outside Norway
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at international conferences. Contribute to grant proposal writing and new project development. Mentor and supervise PhD, Master’s, and undergraduate students in the laboratory. Job Requirements: PhD degree in
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at international conferences. Contribute to grant proposal writing and new project development. Mentor and supervise PhD, Master’s, and undergraduate students in the laboratory. Job Requirements: Pending conferment
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
for Research and Innovation in Health (hereinafter i3) is opening a call to award a grant for the development of R&D activities by doctoral students, enrolled in doctoral programs, within the project