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‘business’ (UiO and MU) Read more about the areas here: https://healenae.eu/phd-calls The candidate must develop a project description, which should be submitted as a part of the application. The description
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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows
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next step in your career with us. About the project The project will run under the umbrella of the AURA (Advanced Understanding and Development of AI for Regional Advancement) project. The project is a
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mediators using in vivo mouse models. The position has a duration of two years. The project group is part of a vibrant and inclusive research environment (https://www.ous-research.no/kt/) at the Department
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theory, sequential inference, computational complexity theory. Language requirement: English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https
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) Infrastructures of toxic evidence and civic protection (UiO and MU) Epidemics and natural disasters as ‘business’ (UiO and MU) Read more about the areas here: https://healenae.eu/phd-calls The candidate must
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. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations concerning the degrees of philosophiae doctor (ph.d.) in artistic development work at the Norwegian
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that you satisfy the enrolment requirements for the PhD programme at the University of Bergen. We can offer Exciting development opportunities as part of your role in a strong professional environment
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research visits with external collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo
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– contributing to the development of inclusive, climate-resilient, and future-proof cities. Duties of the position Carry out research of good quality. Collaborate with the supervisory team to co-author at least