Sort by
Refine Your Search
-
for a candidatewhocanextend and complement the research profile of the group with the main research emphasis on: GNSS remotesensing and reflectometry (GNSS-R) with a focus on land surface processes
-
characterization will be prioritized. Programming Skills: Working knowledge in standard scripting languages such as R and Python is recommended. Further Technologies: Experience in protein 3D structure prediction
-
. Proficiency in programming languages such as Python, MATLAB, or R, and familiarity with data analysis libraries (e.g., NumPy, SciPy, Pandas). Demonstrated ability to work collaboratively in a team setting and
-
background checks may be conducted on qualified candidates for the position. DTU Offshore is Denmark's national R&D centre for offshore technologies, developing research-based solutions for the energy
-
: Utilize Python, R, SQL, and containerization (Docker, Kubernetes) to run data ingestion and processing within automated data pipelines Optimize data processing workflows, reducing manual intervention
-
a team. Willingness to engage in application-oriented R&D, by closely interacting with company staff. Exceptional problem-solving skills and the ability to think creatively and innovatively. Self
-
experience with R * Field work, particularly collection of eDNA samples and biodiversity surveys * DNA laboratory work (preferably eDNA) The successful candidate will be responsible for the daily management
-
experience with R • Field work, particularly collection of eDNA samples and biodiversity surveys • DNA laboratory work (preferably eDNA) The successful candidate will be responsible for the daily management
-
Job Description We are looking for a flexible and competent researcher for carrying out a targeted R&D effort on developing an ammonia adsorption system. The job At DTU Energy we are running several
-
, Statistics or other fields related to Epidemiology or Environmental Medicine. The ideal candidate has prior experience in working with health data, has previously worked with R or similar statistical analysis