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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We are seeking a highly motivated PhD candidate
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PhD Research Fellow in Patient control of their health data used for research and treatment purposes at the Faculty of Law, University of Bergen, Norway PhD-position at the University of Bergen
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on bioinformatic analysis of single-cell sequencing data or on laboratory-based work, including cell-culture assays, flow cytometry and mass cytometry. The candidate should, however, be prepared to contribute to all
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translations) Publications and academic work (max 10 in PDF) and a list of these Your PhD thesis (in PDF) Two references (name and contact information) It is very important that each of the scholarly works on
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omics-based workflows, including sample preparation, analysis, and data interpretation, is an added advantage. Strong scientific writing skills, with a track record of peer-reviewed publications
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PhD Research Fellow in Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making (DC7) (ENDOTRAIN) PhD position at Adhera Health SL (Spain) and the University of Bergen
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network Research Fields: Hormones, Digital Health, Medical Sensors, Physiology Secondments: University of Ulm (Germany): Algorithms for wearable data analysis University of Manchester (UK): Mathematical
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training courses and workshops of the ENDOTRAIN network Research Fields: Hormones, Digital Health, Medical Sensors, Physiology Secondments: University of Ulm (Germany): Algorithms for wearable data analysis
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, they will employ extensive experiments in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data. This main goal of this particular PhD fellowship is
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, Bioengineering, or a related field Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis