Sort by
Refine Your Search
-
) or quantitative (e.g., surveys, statistical analysis) methods and demonstrate a willingness to learn about the other approach or mixed-methods research. Knowledge of social science approaches (e.g., psychological
-
group, a multinational insurance company. Tasks Your duties will include: Literature research Designing, implementing, and evaluating novel machine learning approaches to detect building attributes from
-
evaluating machine-learning models. Expertise in in the field of Building Information Modelling and geometric modelling is greatly beneficial. Excellent English and the willingness to learn the German language
-
qualifications - You are a highly motivated student that takes great interest in research, is curious and excited to learn and optimize new methods and experimental approaches. - Practical experience in molecular
-
ecology (e.g. pollination, chemical or molecular ecology). • Strong experience with statistical data analyses. • Experience in or willingness to learn analytical chemical analyses and data processing
-
, which will supplement the research training with outstanding opportunities for career development, continued education, and life-long learning. We offer excellent working conditions in a young and
-
for this position, the candidate should possess in-depth skills in programming and hands-on training and evaluating machine-learning models. Expertise in in the field of Building Information Modelling and geometric
-
, Computational Linguistics, Data Science or a similar field Good theoretical knowledge and practical experience with Natural Language Processing (rule-based and/or machine learning) Software Engineering Motivation
-
. The main focus is developing and characterizing metallic high-performance materials for/through additive technologies using experiments and computer-aided methods. Furthermore, the chair is dedicated
-
world. The workflow spans from analytical chemistry to material science and engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our