-
PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
-
project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
-
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
-
applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to airmetro at tu-dresden.de or to: TU Dresden,RTG 2947 “AirMetro”, Prof. Hartmut
-
will be matched with PIs’ projects. Who can apply? We are looking for excellent candidates with a completed Master’s degree in various fields (Life Sciences, Bioinformatics, Mathematics, Physics
-
of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to jobs
-
aspects of the mathematical/numerical tools to gain confidence. As a last step, the potential application of these advanced concepts shall be further explored and applied to future science missions where it