Sort by
Refine Your Search
-
experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use
-
experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use
-
their PhD may not apply. No more than three years should have been passed since the starting of doctoral studies or the combined Master and PhD programme. Language skills Applicants must provide evidence that
-
available in the further tabs (e.g. “Application requirements”). Objective The primary aim of this programme is to promote the research projects within the context of the doctoral degrees and scientific
-
the research group Molecular Principles of RNA Phages under the direction of Jun. Prof. Jens Hör. The Helmholtz Institute for RNA-based Infection Research (HIRI) is the first institution of its kind worldwide
-
available in the further tabs (e.g. “Application requirements”). Objective 'DLR-DAAD Research Fellowships' is a programme implemented by the 'German Aerospace Center' (DLR) and the 'German Academic Exchange
-
the research group Molecular Principles of RNA Phages under the direction of Jun. Prof. Jens Hör. The Helmholtz Institute for RNA-based Infection Research (HIRI) is the first institution of its kind worldwide
-
: Prof. Dr. habil. Bilal Gökce), invites applications. RESPONSIBILITIES AND DUTIES As part of funded research activities, you will work independently on scientific questions related to the development
-
available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
-
available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science