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physiological training, and the opportunity to build a professional network through world-leading international collaborations. Join us to translate complex biomedical data into actionable clinical intelligence
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: Extensive technical and physiological training, and the opportunity to build a professional network through world-leading international collaborations. Join us to translate complex biomedical data
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volunteers and analysing complex hormonal and physiological datasets. You will work with collaborators across the training network including a secondment to a specialist primary aldosteronism centre in Munich
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conducting a study with healthy volunteers and analysing complex hormonal and physiological datasets. You will work with collaborators across the training network including a secondment to a specialist primary
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Decision Making (DC7) at Adhera Health SL (Spain) and the University of Bergen, Norway. The position is funded by the European Commission through the MSCA Doctoral Network Endotrain (Grant No: 101227148
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the MSCA Doctoral Network Endotrain (Grant No: 101227148) and coordinated by the University of Bergen, Norway. Supervisors: Dr. Luis Fernandez-Luque, Dr. Ana Moro (Adhera Health SL); Prof. Helge Ræder, Prof
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required and residence in or close by Oslo city is expected. The appointed candidates will work within the collaborative EU funded doctoral training network HEALENAE: Health and Environment in Africa and
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collaborative EU funded doctoral training network HEALENAE: Health and Environment in Africa and Europe. The network will consist of 15 PhDs, that together will work and learn as an international cohort and
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limits of QEC. Although specific research topics will be defined in collaboration with the selected candidate, potential directions include investigating the efficient, low-complexity, and high-performance
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Centre for Environment-friendly Energy Research, facilitating a secure, resilient, and sustainable electricity distribution grid that ensures both the security of electricity supply and a path to a net