Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
at the earliest date possible. Job Description: Innovative cultivation and extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational
-
extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation
-
Martinsried hosts multiple academic institutions and numerous biotech companies. Munich stands out as one of Europe's premier hubs for life scientists, offering an exceptional quality of life. Its unique blend
-
skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
-
technologies to uncover molecular and cellular mechanisms of leukemic transformation. Collaborate with computational scientists to analyse high-dimensional data and generate mechanistic insights. Maintain
-
development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
-
retinal tissue biopsy. The project is funded by the Emmy Noether programme of the German Research Foundation (DFG) for a three-year period, with the possibility of an additional three years. We offer: a
-
curiosity flourish. Our interdisciplinary environment brings together plant biologists, genomics experts, and computational scientists in a collaborative setting that sparks innovation. The postdoctoral
-
, biochemistry and evolution of the Starship transposons in plant pathogenic fungi. We are seeking creative and ambitious scientists to lead any of the three following research themes: Starship diversity and
-
currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We