Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
in the Danish energy sector. As a PhD candidate, you will join the Energy Markets and Analytics (EMA) Section within the Division for Power and Energy Systems (PES). The EMA Section is renowned for its
-
advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems
-
and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data
-
and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se/WIFORCE/en ), was created. Name of research project
-
study); a theoretical background and an interest in ocean biogeochemistry; strong analytical skills; excitement to explore a new research area; motivation to cooperate in a diverse and multidisciplinary
-
documentation must be in English or a Scandinavian language. General information The best qualified candidates will be invited for interviews. Applicant lists can be published in accordance with Norwegian Freedom
-
project, co-funded by the Innovation Fund Denmark and the Department of Management, Aarhus BSS, Aarhus University. Candidate profile We are seeking applicants with strong knowledge of data analytics and
-
partner in an exciting 5-year collaborative program. We are currently seeking applicants for three PhD projects as listed below. The successful candidates will be based in either NIBRT or UCD and will also
-
-tailed Godwits in West Africa and in Europe. A significant data set of tracking data will be available to be used for the PhD research project as adequate. This position is one of two PhD positions hired
-
of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification