Azure Security Engineer

We are looking for an experienced Azure Security Engineer to take a leading role in securing our cloud infrastructure and driving forward our cloud security strategy.

You will be instrumental in identifying vulnerabilities, implementing preventive measures, and strengthening our security posture across the organization.

Join us in securing our digital landscape and driving forward innovation with security at the core.

Data Analyst - Turn Data and Insights into Business Value

Do you want to influence commercial direction through data, and contribute to both strategic decisions and actions for Norlys?

As an independent and proactive professional, you find satisfaction in tackling tasks of varying complexity. Your attention to detail allows you to see both minute intricacies and the bigger picture.

As our new colleague, you will join an ambitious team that emphasizes collaboration, openness, respectful teamwork, and freedom with responsibility.

System & Process Specialist - Procure to Pay

Are you ready to drive transformation in procurement processes and contribute to a sustainable future?

You will be responsible for both technical implementation and lead in change, working closely with stakeholders and team members to ensure the success of the Coupa implementation. Your responsibilities will include guiding teams through change, promoting collaboration, and ensuring a smooth transition to new processes.

CMDB Specialist

Er du en erfaren Configuration Specialist med stærke ITIL og CMDB-kompetencer? Er du passioneret omkring at styrke og udvikle CMDB-discipliner?

Som CMDB Specialist vil du være ansvarlig for at eksekvere CMDB-processerne i tæt samarbejde med Configurations Manageren. Vi leder efter en person, der kan håndtere de daglige operationer og sikre, at vores CMDB altid er pålidelig.

PhD scholarship in AI and Computer Vision for Automated Fisheries Monitoring - DTU Aqua

We invite applications for a fully funded PhD position focused on the development of advanced computer vision and machine learning algorithms for detection and identification of species from Electronic Monitoring (EM) systems onboard commercial fishing vessels.

The successful candidate will contribute to cutting-edge research in automated fisheries monitoring, supporting sustainable fisheries management and compliance efforts.