53 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" "Dr" PhD scholarships at DAAD
Sort by
Refine Your Search
-
development and deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. The program is designed to achieve the following
-
. Successful and rapid development and deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. The program is designed
-
candidate will be embedded in the DFG Research Program RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared
-
SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to markus.schmidtchen at tu-dresden.de or to: TU Dresden, Junior Professorship in Applied Mathematics, Jun.-Prof. Dr
-
sciences and build an interdisciplinary network of experts on the environment. To this end, the scholarships help finance doctoral theses which clearly address topical environmental protection and nature
-
and mechanical studies of molecular motor proteins at the nanoscale Required Documents Required Documents CV Certificates Motivation letter Application Application https://www.cens.lmu.de/en/support
-
SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to esailors at tu-dresden.de or to: TU Dresden, Institute of Aerospace Engineering, Prof. Dr. Martin Tajmar
-
on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA
-
completed bachelor's AND master’s degree in chemistry with a focus on analytical or environmental chemistry from a university or comparable institution of higher education is required. Applicants must have a
-
on conferences and in publications Requirements Master’s degree in physics or chemistry, computer science or equivalent Interest in Physics and Machine Learning Good written and spoken English Ability to work both