Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
-
: Prof. Dr. Magdalena Götz – magdalena.goetz at helmholtz-munich.de Application: Hector Fellow Academy Office – application at hector-fellow-academy.de Apply via the HFA portal: https
-
/Diploma) in the field of Biochemistry, Biology, Pharmacy or Chemistry or related field Experience in experimental laboratory work Excellent knowledge of a broad range of biochemical, cell and molecular as
-
. Enhancers, DNA elements with binding sites for transcription factors, play a key role in this process. Recently, it has become clear that enhancer activity requires the formation of sub-micrometer-sized
-
of the institution. Areas evaluated include academic performance and quality, extracurricular activities, mo-tivation, and relevance of the research topic (if applicable). The DAAD reserves the right of final
-
water supply sources based on contaminant removal performance and specific energy consumption. Water-energy nexus, resource recovery, and circular economy feature in this project, and will be used
-
have detailed expertise in analytical and spectroscopic tools, namely NMR, XRD, IR, UV-Vis, MS and very good language skills in English and/or German. Please send your application (motivation letter, CV
-
, these models often use simplified, linearized assumptions, limiting their capacity to capture the nonlinear complexities inherent in real-world hydrological processes. Recently, there has also been the branch
-
Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
-
to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer