Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
research, supported by the renowned Max Planck Institute for Meteorology (MPI-M) and the Universität Hamburg (UHH). Why Join IMPRS-ESM? Interdisciplinary focus: We address the processes and dynamics
-
of income, including other scholarships If you have applied for admission to a Master's programme in parallel: reference number and submission date of your application. Incomplete applications cannot be taken
-
are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
-
particular the respective amounts, please see the call for applications of the degree programme you wish to apply for. Selection The selection process differs between the individual degree programmes. Please
-
the REACT Doctoral Network. In this context, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and
-
of different survey methods. Tasks: Independent and cooperative qualification through scientific research within the project; training in the technical tasks of the individual dissertation topic through study of
-
scientific disciplines. Employees with different backgrounds conduct research in national and international research co-operations. The IGZ is based in Großbeeren near Potsdam and near Berlin and is a member
-
to obtain your own academic qualification as part of a doctorate is given. Your profile: An excellent MSc degree (or equivalent) in biochemistry, chemistry, biology, computational science, bioinformatics
-
computational tools. Our research combines computational chemistry, cheminformatics, bioinformatic and AI to design new molecules and enzymes for unprecedented catalytic functions. In this project, you will
-
aims to develop responsible transport appraisal methods that consider multiple performance metrics simultaneously, with a special emphasis on fairness to weigh different circumstances, constraints, and