Sort by
Refine Your Search
-
. Lead and conduct research projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data
-
to secure long-term project financing. Sector Collaboration: Collaborate closely with partners in the Swedish forest sector to ensure research relevance. Your profile Required: A PhD in Forest Remote Sensing
-
substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of PhD and MSc students, teaching and
-
for learning new things, working systematically, and showing flexibility where required. Collaborative skills, accuracy, and subject-related expertise are emphasised. Qualifications are preferably exemplified in
-
projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome
-
ecology and in ecosystem-based management. As a person, you are responsible and good at communicating. You enjoy working in a group and demonstrate capacity for learning new things, working systematically
-
that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
-
. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling