Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
oxidation) and the Maillard reaction. Expertise on data analysis with R or Python tools. Experience in processing of targeted and untargeted mass spectrometry datasets, ideally in the field of lipidomics
-
developments in the field of digitalization (e.g. current issues regarding artificial intelligence, data economics, platform regulation, data protection). The willingness to actively contribute to larger
-
and coordinating meetings, workshops and business trips Creation and preparation of minutes and data Support in the preparation of publications and events Administration of project budgets Maintaining
-
, hydrology, environmental science, or a related field. Experience or strong interest in experimental and numerical geophysical methods and quantitative data analysis is especially welcome. The successful
-
of the project Delivering publications for peer-reviewed journals and high-quality academic publishers Conducting fieldwork and data collection in China (funding will be provided for this purpose) Participating in
-
the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing
-
Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s
-
candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 13.07.2025 Coordination & Management
-
degree in Communication Science or a related discipline. You have in-depth knowledge of methods of empirical social research, especially quantitative methods and statistical data analysis. You are
-
education. In addition, digital and direct methods of human somatometry, scientific photography, creation and handling of field research based paper & pencil and digital data collection forms, surface