Sort by
Refine Your Search
-
knowledge in food chemistry and superior interest in food systems biology, food-related research • Keen interest in learning and applying experimental biophysical techniques, in particular AFM (essential
-
with chemoreception and sensory biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data
-
, Machine Learning, Hyperspectral Cameras • Professional proficiency in written and spoken English Application process Send your application in English by email to amx@wzw.tum.de with the title “Research
-
and teach courses in the research areas of the professorship, in particular the political economy of technological change. Actively participate in the intellectual life and research activities
-
) 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
-
, 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
-
, Management Science, Business Analytics, or a related field. Strong analytical skills with experience in AI, machine learning, or data analytics. Very good English skills in writing and communication
-
models. Your tasks: Research, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in
-
diagnosis, and knowledge of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in
-
the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially