-
system diseases by combining gene engineering and generative machine learning modeling to design gene therapy constructs and validate the constructs in vitro and in vivo. The candidate will work in a
-
technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
-
the ability of the mono-ADP-ribosyltransferase, Parp7 and Parp11, at improving check point inhibition therapy in intraductal mammary tumour models. More about the position Research activities will take place in
-
qualitative methods, situated within a design-based research framework, and cutting-edge text analysis methods that use large language models as a tool for qualitative research. The candidate is expected
-
groups provide excellent research environments and supervision enabling world-class research, innovation and digital infrastructure, models for interdisciplinary collaboration and training in research
-
summarizing your scientific work and interests, and a personal assessment focusing on how you fit the description of the person we seek. Documentation of English proficiency, if applicable CV (summarizing
-
) and economics (or related fields) Applicants must have experience in one or more of the topics o Model-predictive control o Numerical optimization o Econometrics o Virtual power plants o