45 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD scholarships at DAAD
Sort by
Refine Your Search
-
principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion phenomena and link speciation with spectroscopic signatures. Formal requirements include a Master's degree in
-
missions. Prior experience with methods of statistical inference using simulations or anomaly searches with machine-learning approaches is desirable.
-
THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
-
Germany Immunohistochemistry and/or RNA in-situ hybridization and light microscopy High degree of motivation, willingness to learn and team spirit Strong sense of responsibility, organisational skills, high
-
. Persons with severe disabilities with equal aptitude, competence, and professional performance will be given priority. > Learn more about "Diversity at UKE" here.