Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Economics and Business Strategy ii) Business Taxation iii) Asset Management and Risk Analysis iv) Energy Markets, Resource Management and Sustainability v) Shipping, Logistics and Operations Management
-
, audio source-separation, audio analysis, statistical modeling, machine learning, and advanced programming in Python. Excellent oral and written communication skills in English. Personal suitability and
-
Organization (FAO). Theoretically, the project draws on the existing literature about the gendering of fisheries, in dialogue with gender studies, social science concept analysis, legal anthropology and
-
decisions, and how they can be improved to better align with societal goals. This includes philosophical analysis of how evidence is constructed, how ethical trade-offs are handled, and how scientific advice
-
to heat treatments would be of particular interest. Experience with bioprocesses Experience with relevant analytical methods. Experience with data analysis. Industrial experience or experience of conducting
-
Economics and Business Strategy ii) Business Taxation iii) Asset Management and Risk Analysis iv) Energy Markets, Resource Management and Sustainability v) Shipping, Logistics and Operations Management
-
addition to holding a PhD, you must have a strong analytical background and experience in quantitative ecology, spatial analysis, handling large and complex datasets, and proficiency in programming (e.g., R or Python
-
they influence decisions, and how they can be improved to better align with societal goals. This includes philosophical analysis of how evidence is constructed, how ethical trade-offs are handled, and how
-
learning, or rank-based modelling / preference learning will be an advantage. Experience with management and analysis of large datasets is an advantage. Experience with biomedical applications is also an
-
, how they influence decisions, and how they can be improved to better align with societal goals. This includes philosophical analysis of how evidence is constructed, how ethical trade-offs are handled