Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
(iPanCare ) Lab. We are a part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS ). iPanCare lab conducts research in the field of precision diagnostics and medicine
-
equivalent knowledge in some other way, is required. More information about the general requirements can be found here . A student has special eligibility for doctoral studies in organic chemistry if s/he has
-
for molecular life sciences High level of autonomy and responsibility Read more about what it’s like to work at KTH and our benefits . Qualifications Requirements Extensive executive-level assistant experience
-
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
-
equal opportunities for all. Further information about the position can be obtained from Assistant Professor Emil Marklund, emil.marklund@scilifelab.se . Application Apply for the position at Stockholm
-
School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Professor Tuuli Lappalainen’s research group is looking for a postdoctoral researcher for a research
-
improving population genomic and bioinformatic methods to analyze palaeogenomic data, funded by research grants from Formas, Vetenskapsrådet and Riksbankens Jubileumsfond. The Human Evolution program has
-
://ngisweden.scilifelab.se/ We are proud to deliver high-quality data and are accredited by SWEDAC as a testing laboratory under the ISO/IEC 17025 quality standard. We are now looking for a technology-driven bioinformatician
-
information about us, please visit: The Department of Environmental Science . We are seeking a highly motivated Staff Scientist to join our Molecular Toxicology research environment at Science for Life
-
and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting