58 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions at Technical University of Munich
Sort by
Refine Your Search
-
on developing the imaging system as well as novel machine learning approaches for image analysis and disease classification using field data from German and Brazilian agricultural trials. Responsibilities Design
-
embedded into the quantum technology network formed by WMI, the Excellence Cluster MCQST (www.mcqst.de), the TU München (www.tum.de), Munich Quantum Valley (https://www.munich-quantum-valley.de/), and many
-
Requirements: Applicants should hold an MSc or Diploma in Engineering, Computer Science or a related discipline. Background in Machine Learning and Artificial Intelligence. Strong programming skills (Python
-
spectroscopy to tackle challenges in photophysics and photochemistry as well as in material sciences. (https://www.ch.nat.tum.de/dynspec/startseite/). We work with (time-resolved) fluorescence, excitation and
-
Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche/ The position is suitable for disabled persons. Disabled applicants will be
-
Technical University of Munich School of Computation, Information and Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche
-
. Contact details of at least two references. All the other positions offered by COMBINE can be found in https://euraxess.ec.europa.eu/jobs/401249 The position is suitable for disabled persons. Disabled
-
of TUM. Kontakt: andre.stiel@tum.de More Information https://www.helmholtz-munich.de/en/ibmi/rg-ibmi-celleng
-
, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, sta-tistics, machine learning
-
analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team