236 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Technical University of Munich
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD positions will be part of a
-
Manufacturing is part of the TUM School of Engineering and Design and com-bines basic research with the application in order to shape the still young Additive Manufacturing environment. We are seeking for a
-
and research flagship that brings together two of Europe’s most innovative universities to deliver cutting-edge science and jointly train the next generation of UK and German researchers. This program
-
Manufacturing is part of the TUM School of Engineering and Design and com-bines basic research with the application in order to shape the still young additive manufacturing environment. We are seeking for a
-
present them at international conferences Collaborate closely with researchers at TUM and partner institutions in Brazil Requirements A Master’s degree in physics, computer science, Earth system sciences
-
or comparable degree in physics, biology, bioengineering, material engineering or a related discipline. You have experimental experience in cell/tissue culture, microfluidics, or a related discipline. You enjoy
-
demonstration as proof-of-concept implementation in an experimental 6G testbed. Your qualifications MSc in Computer Science or Electrical Engineering Strong background in networking and systems with solid
-
Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models, adversarial attacks, and
-
with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep
-
) in computer science, geoinformatics, data science, business administration, or comparable field of study several years of professional experience in Earth observation research institute or industry