Sort by
Refine Your Search
-
to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field
-
- identifying which measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make
-
force in project development. An entrepreneurial attitude is essential. Skills, experience, and a track record of project development is valuable. Engagement with policy and practice. CMI aims to provide
-
needed to implemement the project. A motivation letter. A CV, including publication list, detailing the full scientific track record, relevant other achievements and career breaks (e.g., parental, and long
-
. A motivation letter. A CV, including publication list, detailing the full scientific track record, relevant other achievements and career breaks (e.g., parental, and long-term sick leave, compulsory
-
the application process, to ensure that there is a match between resources and expertise needed to implemement the project. A motivation letter. A CV, including publication list, detailing the full scientific track