44 complex-analysis-mathematics Postdoctoral positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers
-
computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
-
machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
-
use your skills to answer fundamental biological questions in health and disease. The successful candidate is expected to leverage their skills in proteomics and computational analysis to interrogate
-
research, publication, data analysis, and laboratory work, with the opportunity to participate in planned field expeditions to Greenlandic coastal and shelf waters. You will investigate key parameters
-
countries in Africa. Due to the nature of the project, travel activities will be an important part of the job. You will be employed in the Research Group Bioactives – Analysis and Application, which has
-
adaptive laboratory evolution or microbial strain selection Experience with CRISPR/Cas systems for genome editing Familiarity with omics data analysis and/or metabolic modeling Prior involvement in setting
-
of complex microfluidic hydrogel networks, integration of micropumps for bubble-free aseptic perfusion, and non-contact mapping of multiple metabolites during tissue culture. You will be working on all aspects
-
and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
-
expertise in thermo-fluid engineering, thermodynamic modelling, and optimization. The ideal candidate will demonstrate: Proven experience in thermodynamic modelling, thermo-economic analysis, and multi