Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
new flagship research program aiming to to map the molecular structure and function of single human cells in time and space and create AI-based models to predict human cells. It is funded by the Knut
-
KTH Royal Institute of Technology, Support services at KTH SciLifeLab is launching a new strategic research program, Alpha Cell to map the molecular structure and function of single human cells in
-
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
-
like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
-
these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
-
education . Skills and personal qualities In addition to the aforementioned requirements for the position: A demonstrable computational competence, comfortable with using and developing algorithms, data
-
”. Qualification requirements Required Academic degree in Bioinformatics, Computer Science, Biotechnology or similar. Programming experience, preferably using Python or Javascript. Basic knowledge of version control
-
information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
-
, computer science or a related subject the employer considers of relevance to the position. Experience (3+ years) in working with advanced bioinformatics analyses of omics data from high throughput
-
project to study genetic regulatory variation and its link to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is fully computational, and potential approaches