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- NTNU Norwegian University of Science and Technology
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15th June 2025 Languages English English English We are looking for a PhD Candidate in Structural/computational mechanics for material efficient design of structures Apply for this job See
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fellowship in the field of biomedicine. The doctoral candidate will be affiliated with the PhD program in Health Sciences and the research group Male Reproductive Health . Project/ Area of Research
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. Computing big datasets will be an essential part of the project. The following problems will be investigated: the effect of cryopreservation on sperm DNA modifications the effect of temperature
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and Nantes Université in France. The predefined project will be under the supervision of Professor Olivier Seynnes. The successful candidate will be requested to formally apply for enrolment as a PhD
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Abandonment (P&A) Technology and within the framework of the ongoing industry sponsored research program SFI – Center for Subsurface Well Integrity, Plugging and Abandonment (SWIPA) https://www.sintef.no/en
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that qualifies you for a further career in higher education and research, in and outside academia. Your immediate leader will be a Professor. About the project As a part of the Norwegian bioenergy strategy
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higher education and research, in and outside academia. Your immediate leader will be the Head of Department. The supervisor for this position is Associate Professor Angelos Xomalis. About the project We
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to the doctoral programme, grade B or above for the master’s thesis is normally required. The applicant must have expertise in at least one systematic and analytical methodology, such as: designing, running, and
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, phycology, and biosciences. Grade average of B or better both for the programme in total and the master’s thesis Drylab skills in molecular biology including DNA extraction, Qubit quantification Experience
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visions is to use artificial spin systems as a platform for efficient and powerful data analysis at all scales, ranging from low-power computation in the simplest sensor node to accelerated data processing