DigiSal-BT8121

My PhD project is part of the NFR project SLAM-DUNK (RCN Project number: 326861). The main aim of SLAM-DUNK is to design, optimize, and integrate a combination of novel technologies (anaerobic digestion, microwave assisted pyrolysis, and microalgae cultivation) for the conversion of fish sludge to valuable products. The PhD project is focusing on the optimization of microalgae cultivation on residual streams from aquaculture directly and from digester liquid from an anaerobic digestion (AD) ...

I am part of 180 ̊ N Project: Clinical PET/MRI in collaboration with St Olav’s Hospital. In Work Package-5, we aim to develop and validate new machine learning methods that exploit the quantitative nature of the PET and MR images. We will develop a pipeline for pre-processing and quality assurance of the acquired images, as well as a toolbox with machine learning algorithms focusing on region classification and detection of change over time. These methods will be applied to answer open clinical ...

Systems biology for salmon farming is what I do. I lead the DigiSal project (http://tinyurl.com/digisal), whose full title is "Towards the Digital Salmon: From a reactive to a pre-emptive research strategy in aquaculture". DigiSal is part of Digital Life, the first call dedicated to systems biology by the Research Council of Norway. I'm also one of the lead modellers in GenoSysFat (http://tinyurl.com/genosysfat), working to improve the omega-3 content of salmon farmed on sustainable feeds by ...