Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Vienna
- Nature Careers
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Medical University of Innsbruck
- Universität Wien
- BOKU University
- EpiFlaMe Consortium (located at University of Salzburg, University of Linz, and Medical University of Vienna)
- IST Austria
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- Universität Innsbruck
- academy of fine arts vienna
- 2 more »
- « less
-
Field
-
-source releases and publications Who we’re looking for Required MSc (or equivalent) in molecular biology, bioinformatics, computational biology, statistics, computer science, or similar Solid programming
-
microbial activity (e.g. stable isotope tracing), or in genome/-omics analysis is advantageous, but not required. Bioinformatics skills such as working knowledge of R and scripting languages, as well as a
-
assessing microbial activity (e.g. stable isotope tracing), or in genome/-omics analysis is advantageous, but not required. Bioinformatics skills such as working knowledge of R and scripting languages, as
-
EpiFlaMe Consortium (located at University of Salzburg, University of Linz, and Medical University of Vienna) | Austria | 3 months ago
, plus supporting bioinformatics and technical personnel. Researchers will be working at the University of Salzburg, the University of Linz and the Medical University of Vienna, Austria. Interested? Submit
-
assembling and analysing chromosome-level genomes Experience identifying genomic targets of selection Excellent molecular biology lab skills Excellent bioinformatic skills At least one peer-reviewed
-
assembling and analysing chromosome-level genomes Experience identifying genomic targets of selection Excellent molecular biology lab skills Excellent bioinformatic skills At least one peer-reviewed
-
from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
-
and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and social network analysis. Machine learning with
-
well as fungal transformation is appreciated Experience with fluorescence microscopy Knowledge of programming, R, statistical analysis or bioinformatic is strongly appreciated Excellent English proficiency in
-
research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and