Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
For further information, please contact: Dr. Jorge Querol ( ) Your profile A PhD degree in Telecommunication Engineering, Electrical Engineering, Computer Science, or a closely related field, with a focus on
-
genetics Experience with receptors/receptor signalling is an advantage Experience in omics data handling and statistical analysis Excellent written and spoken English communication skills Experience with
-
fitness in different environments. Please check out the lab website for more descriptions of our research: https://sifangwei.github.io/ 4. Position Description and Qualifications: We are mainly looking
-
here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ
-
bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use
-
@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
-
career. Information on CGEN and its individual groups can be found at: https://cgen.ku.dk/ and on ICMM at: https://icmm.ku.dk/english/ . Project description The project will be decided in consultation
-
SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
-
Information For further details about the position, please contact Professor Vijay Tiwari at tiwari@health.sdu.dk Application deadline January 11, 2026, at 23:59 hrs. CEST Apply online: https://fa-eosd
-
-read whole-genome sequencing data. Genome of Europe will operate in a federated analysis paradigm, with raw-datasets being held separately in different member states, hence the central opportunity