-
biology, protein engineering, biochemistry. Building quantitative models: Using high-throughput binding data to build sequence dependent predictive deep learning models, and physical mechanistic models
-
, together with the Theoretical Particle Physics group at the Department of Physics and Astronomy (Professor Stefano Moretti), which works on beyond-the-Standard-Model and dark-matter phenomenology and
-
Engström. The focus of this fellowship will be on the regulation of protein translation and stop codon readthrough (SCR). The primary objective is to identify/isolate trans-regulators that control SCR in
Searches related to model predictive control
Enter an email to receive alerts for model-predictive-control positions