-
abilities into the long-term development of the professorship. Ideally, you are already knowledge-able in the fields of life cycle assessment, simulation, mathematical optimization, and / or material flow
-
with mathematical modeling and machine learning methods will ultimately allow us to predict the entire recognition space for any given TCR sequence. Our work is embedded into close collaborations with
-
Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
-
qualifications and requirements university degree (Diploma/Master) in electrical or electronic engineering, telecommunications engineering, computer science, physics, mathematics, or equivalent strong programming
-
Python) M.Sc. in Computer Science, Physics or Mathematics or a similar subject area We encourage you to apply even if your profile does not meet all of the requirements for the role yet. Your profile is
-
06.05.2024, Wissenschaftliches Personal The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz- LSB@TUM) is a research institution of the Leibniz Association looking for a Postdoctoral Scientist (m/f/d) in the research group Mechanoreceptors/ Section II to...
-
good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline