-
funded by a Novo Nordisk Foundation Exploratory Interdisciplinary Synergy grant. The project aims to develop new antibiotic compounds that evade both current and likely future resistance mechanisms
-
, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
-
. Required Qualifications: Completed PhD in the field of Biotechnology, Biochemical Engineering, Biochemistry, or relevant field Strong background in enzymology and protein engineering Experience in enzyme
-
) that is based on redox-active organic building blocks. These building blocks enforce charge delocalization and give rise to exotic quantum states that relate to superconductivity. This project will focus
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
of open data and open science. Your profile The ideal candidate should have: A PhD in environmental engineering, ecology, environmental science, biology, data science, computer science, or a closely related