Sort by
Refine Your Search
-
candidate profile: Strong academic background in protein chemistry, preferably with experience in carbohydrate-active enzymes. Experience in bioinformatics analysis, protein structure analysis
-
, analytical and computational skills. Knowledge of Bayesian machine learning, deep learning and statistical learning. Experience in statistical modelling and data analysis; ideally experience with quantitative
-
. Qualifications You are excited about experimental science and advanced data analysis, and we expect that you enjoy being part of a team, that you have sense of humor, is a good problem solver and that you can work
-
strain theory and advanced hyper elastic material models incl. anisotropy You preferably have insights into topology optimization and/or finite element analysis and are committed to improving state
-
/microbiology Experience with writing and running data analysis scripts in a command-line interface Solid Programming experience with: A high-performance, compiled language like Rust or C++ A scripting language
-
chemistry, and data analysis, ensuring a comprehensive, interdisciplinary approach to this exciting field of research. You will be part of the research teams of Associate Professor Lars Behrendt and Professor
-
, identification, and length estimation. Additionally, it will focus on creating AI-assisted review software to streamline the analysis of EM data, enhancing efficiency and scalability in fisheries monitoring
-
is to create and combine knowledge on relevant atmospheric flow statistics with AWE time-domain analysis and uncertainty quantification, to determine loads statistics and failure probabilities
-
-connected services, power systems, renewable energy, electric vehicles, etc. Further, to implement advanced measurements (EIS, ICA, pulse-excitation techniques, embedded sensors, etc.), perform data analysis
-
from many different sources into data frames that can be analyzed with biostatistical applications in the statistical software R/Python. Performing data analysis in accordance with time-structures and