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administrative tasks at the Department. About the project/work tasks: The PhD project will focus on the ethical aspects of Natural Language Processing (NLP), addressing challenges such as bias, fairness, alignment
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-macrophages Perform flow cytometry and/or cell sorting and characterization using different experimental approaches including sequencing and RT-qPCR experiments Perform in situ hybridization and other
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loading histories in Francis turbine runners, including start–stop cycles, rapid load changes, dwell periods and mixed high–low stress sequences. Such loading conditions influence fatigue damage development
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representations of time‑dependent data through sequences of iterated integrals and have recently gained significant attention in machine learning and data science. The project will investigate how
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of time‑dependent data through sequences of iterated integrals and have recently gained significant attention in machine learning and data science. The project will investigate how these representations can
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to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included Name and contact information for two references. About the
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together researchers and clinicians at NTNU and St. Olav´s University Hospital and do clinical, translational and basic research on the cancer Multiple Myeloma, an incurable blood cancer arising in plasma
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will develop a full research proposal aligned with the objectives of WP3 of AFRI-FOR and a progress plan for the PhD scholarship period during the first months of the appointment. Note that the target
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(experimental data is obtained as part of a collaboration) to determine the extent to which ultraslow oscillations and ultraslow sequences are present in the entorhinal-hippocampal circuit during free foraging
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/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries