Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
the global top tier. For example, csrankings.org lists DESS as no. 2 in Europe and no. 11 in the world within Databases for the period 2021-2025. More information about DESS can be found at: https
-
within any of galaxy formation, Lyman-alpha absorption, ISM/CGM evolution, and spectroscopic data analysis are strongly encouraged to apply. Responsibilities and qualifications Your overall focus will be
-
. More information about DESS can be found at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems. The Center for Classical Communication in the Quantum Era (CLASSIQUE) is a pioneering
-
ongoing national and international research projects and will focus on one or more of the following themes: Artificial intelligence and data driven methods for energy system analysis and control Data-driven
-
. Empirical work may be complemented with additional data collection and causal designs (e.g., online experiments), as well as relevant methods (e.g., big data, panel analysis, semantic analysis, simulation
-
. Specific tasks in the project will be: Draft a suitable work- and time plan. Examination of vaccine-induced immune response by gene expression analysis of samples from earlier animal experiments. Optimize
-
adsorption analysis, Mössbauer and X-ray spectroscopy. The latter includes skills in formulating and implementing kinetic and continuum models, e.g. geochemical and biogeochemical reaction modelling. You will
-
expected with the purpose of performing field studies and data analysis with one of the leading groups in the field. Qualified applicants must have: A BSc in physics followed by a master’s degree in physics
-
functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and uncertainty analysis to uncover the most significant variables in the derived limit states
-
doctoral candidates with skills in interdisciplinary research, spanning from nanotechnology and materials science to molecular microbiology, biochemistry, and infection medicine to AI-based data analysis