57 neuroimaging-machine-learning-engineer PhD positions at Technical University of Munich
Sort by
Refine Your Search
-
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
-
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
-
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
-
. Expected qualification: High motivation and commitment to scientific excellence Above-average Master Degree / Diploma in engineering (chemical engineering, biochemical engineering, or related engineering
-
learning of autonomous vehicle systems. The AVS Lab's research is motivated by the goal of developing the next generation of intelligent autonomous vehicle systems. We are seeking highly motivated and
-
learning of autonomous vehicle systems. The AVS Lab's research is motivated by the goal of developing the next generation of intelligent autonomous vehicle systems. We are seeking for highly motivated and
-
immunotherapies by macrophage and T-cell engineering approaches, (iii) induce tissue regeneration and graft-versus-leukemia via activation or inhibition of innate immune pathways during allogeneic hematopoetic stem
-
applicant must have the following: • Masters’ degree in Electrical Engineering, Mechanical Engineering, Physics or a related discipline • Experience with electronic circuits design and testing
-
(e.g. econometrics, statistics) interest in natural resources, agriculture or the general food system and related technology a high motivation and the ability to work independently with a strong team
-
, C.S. (2021). Mapping and engineering of auxin-induced plasma membrane dissociation in BRX family proteins. Plant Cell 33, 1945-1960. Marhava, P., Bassukas, A.E.L., Zourelidou, M., Kolb, M., Moret, B