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for a highly motivated and self-driven PhD student with strong intellectual curiosity and interest in computational mechanics, data-driven design, and sustainable engineering. You will become an integral
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three-year PhD–positions related to use of AI for mapping of forest ecosystems. New sensors and increased digitalization generate vast quantities of data that together with advanced statistical methods
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academic writing (e.g., previous conference or journal articles) Personal qualities Be highly motivated for completing a PhD Be open-minded and eager to learn Be goal-oriented, accurate, analytical and
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
10th April 2026 Languages English English English UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments Apply for this job See advertisement About the
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CERN, the PhD Candidate will have a contract of association and will be a member of the CERN Doctoral Students Programme. More information about the conditions, including details of the monthly stipend
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communication skills Have a credible interest in doing field work Remuneration and further information The position is placed in position code 1017 PhD Fellow, (NOK 550800). This is a temporary position with a
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to inclusivity and equal opportunity. For further information about the recruitment process, click here . via Unsplash Life as a PhD candidate at UiB Marion Claireaux tells about life and work as a PhD candidate
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15th April 2026 Languages English Norsk Bokmål English English Molde University College announces PhD position focusing on Large-scale infrastructure for CO₂ logistics Apply for this job See
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detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description . The applicant must document expertise and interest in the research subject. This
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and environmental data Write scientific papers Complete required courses The successful candidate is expected to enter a plan for the progress of the work towards a PhD degree during the first months of