The faculty has a special responsibility to address high north relevant topics - including Arctic and Marine Research. The Faculty's thematic Research initiatives includes:
- Energy, Climate and Environment
- eScience
- Mineral resourses, materials and bioactivities
- Maritime, Marine, Nano-, Space-, Bio-, and Information Technology
- Secure operations in Arctic
We have 95 projects at our unit:
Evaluation of digital skills for maritime students (Academic chapter/article/Conference paper)
Datainnsamling med personvern og datasikkerhet (Lecture)
Client side dynamic aspect ratio based on automated AI analysis (Academic lecture)
ON THE VARIOUS SHIP SIMULATOR APPLICATIONS AND THEIR ACCURACY REQUIREMENTS: COMPARISON OF TWO NUMERICAL SIMULATORS WITH EXPERIMENTS (Academic lecture)
Conformational Studies of Cyclic Hexapeptides with Vibrational Circular Dichroism: Experimental and Theoretical Approach (Lecture)
Conformational Studies of Cyclic Hexapeptides with Vibrational Circular Dichroism: Experimental and Theoretical Approach (Academic lecture)
Se alle registreringer i Cristin
Se alle registreringer i Cristin
Doktorgradsavhandlinger:
Hansen, Stine : Leveraging Supervoxels for Medical Image Volume Segmentation With Limited Supervision Eikås, Karolina Di Remigio : A computational study of cyclic peptides with vibrational circular dichroism Khaleghian, Salman : Scalable computing for earth observation - Application on Sea Ice analysisMasteroppgaver:
Ottestad, Thomas Forsgren : Triggering the next nudge Størkersen, Vegard : Configuring electrochemical 3D printer for PCB production Thom, Erik : A new Method for Estimating 3-Dimensional Ionospheric Currents from Ground-Based MagnetometersArtikler og rapporter:
Guerra, Michele / Bianchi, Filippo Maria / Scardapane, Simone / Spinelli, Indro : Explainability in subgraphs-enhanced Graph Neural Networks Staupe-Delgado, Reidar / Abdel-Fattah, Dina / Pursiainen, Christer Henrik : A discipline without a name? Contrasting three fields dealing with hazards and disaster Hansen, Stine : Leveraging Supervoxels for Medical Image Volume Segmentation With Limited SupervisionSe alle oppføringer i Munin – Open research archive
We have experts within a large range of subjects