Disputaser

Kommende 5 dager

23 sep.
Image may contain: Tie, White-collar worker, Chin, Forehead, Tie.
Tid: 23. sep. 2020 12:00

Doctoral candidate Magnus Reinsfelt Krogh at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Combined accelerometer and gyro sensors for continuous left ventricular function monitoring for the degree of Philosophiae Doctor.

Flere kommende disputaser

Marte Theie Gustavsen
Tid og sted: 25. sep. 2020 12:15, Zoom

Doctoral candidate Marte Theie Gustavsen at the Department of Pharmacy, Faculty of Mathematics and Natural Sciences, is  defending the thesis "Tools to optimize the immunosuppressive treatment after renal transpantation" for the degree of Philosophiae Doctor.

Lina Hedvig Line. Foto: Privat
Tid og sted: 25. sep. 2020 13:15, Zoom (videolink)

Ph.d.-kandidat Lina Hedvig Line ved Institutt for geofag, Det matematisk-naturvitenskapelige fakultet, vil forsvare avhandlingen Reservoir quality and prospectivity of Lower - Middle Mesozoic sandstones of the Barents Shelf for graden Philosophiae Doctor.

Bilde av kandidaten.
Tid og sted: 25. sep. 2020 13:1516:00, Department of Chemistry, Auditorium 1

Msc. Marianne Skov-Skov Bergh at the Department of Chemistry, Faculty of Mathematics and Natural Sciences, is defending the thesis «Fentanyl Analogs: Development of Bioanalytical Methods for Forensic Case Work and Studies of Metabolism and Pharmacodynamic Effects » for the degree of Philosophiae Doctor.

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Tid: 25. sep. 2020 14:00

Doctoral candidate Raissa Pershina at the Department of informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Entrepreneurship and the creation of digital innovation at the intersection of digital and analog fields for the degree of Philosophiae Doctor.

Tid og sted: 25. sep. 2020 15:30, Zoom

Doctoral candidate John Mark Aiken at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis "Understanding University Student Pathways Towards Graduation with Machine Learning and Institutional Data" for the degree of Philosophiae Doctor.