Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep
-
at the Science for Life Laboratory in Stockholm, a centre for large-scale life-sciences. NRM has a close collaboration with nearby Stockholm University, which includes joint supervision of PhD students. NRM has
-
Uppsala University. National Bioinformatics Infrastructure Sweden (NBIS) is a national research infrastructure with the purpose to provide support for bioinformatics and infrastructure to researchers in
-
research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS program, which has four
-
Uppsala University, Department of Cell and Molecular Biology NBIS (National Bioinformatics Infrastructure Sweden) is looking for an engaged and knowledgeable research infrastructure specialist in
-
eminent junior group leaders as DDLS Fellows, launch over 210 postdoctoral positions and establish a research school for 260 PhDs, within both academia and industry. The program is coordinated by SciLifeLab
-
(“Fellows”), over 210 postdoctoral positions and has established a research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities
-
well as to follow societal developments in general that are important to your work. The Faculty of Medicine applies student-active teaching methods. Qualifications For being eligible you need to hold a PhD or have
-
has established a research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS
-
will contribute to field work, lab work and bioinformatic analyses including: Sample collection at Askö. Extraction of DNA, RNA, and protein. Analysis of meta-omic datasets. Integration of meta-omic and