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paradigm shift in development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we
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linear ballistic accumulator models, diffusion models, biased competition models, or Bayesian models. During the employment, the candidate is expected to engage in the development of computational models
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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at the Department of Electrical and Computer Engineering, as well as Ethiopian researchers specializing in Geophysics and Nature-based solutions. The candidate must be willing to participate in field work in Ethiopia
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Profile: The ideal candidate comes from or combines media- and communication studies, anthropology, techno-anthropology or cultural studies. Previous experience with science and technology studies (STS) and
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experts within stem cells, liposome single-particle microscopy and 2-photon microscopy for blood-brain-barrier transport imaging. More information can be found in a brief overview of the research