Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
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
-
Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden
-
of Chemistry and Biomedical Science, one of five departments within the Faculty of Health and Life Sciences. Our department plays a pivotal role in shaping BSc programs in biology, biomedical analysis, health
-
research with a focus on interactions between plants and microorganisms in forests and agriculture. Central questions concern the population biology and community structure of microorganisms, their functions
-
of the strongest research environments for basic plant research in Europe. Research at UPSC covers a wide range of disciplines in plant biology including ecology, computational biology, genetics, physiology
-
and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create
-
, computer science, computational biology and computational statistics. More information about us, please visit: Department of Mathematics . Project description We seek to recruit a PhD student for the following
-
social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
-
for a candidate who wants to generate new knowledge needed to develop future biodiversity conservation and forest management. Applicants should have a Master's degree in biology, ecology, environmental
-
year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS