-
environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and
-
and understanding the properties and interactions of molecular-scale matter, e.g., biological macromolecules. Recently the group pioneered “molecular stereometry” –- a new experimental approach to
-
measuring and understanding the properties and interactions of molecular-scale matter, e.g., biological macromolecules. Recently the group pioneered “molecular stereometry” –- a new experimental approach to
-
, molecular diagnostics and novel treatments of lung diseases. The Centre offers a vibrant, inclusive, collaborative, and interactive environment. The postholder will interact with clinicians based at the Royal
-
) are interested in molecular organisation of cell interfaces in the epithelial tissue and glycobiology. We use super-resolution STED microscopy, CryoET, in combination with biophysics and chemical biology, to
-
or spatial profiling; Mouse genetics and in vivo experimentation; Lineage tracing, clonal dynamics, or immune repertoire studies Candidates should hold (or be close to completing) a PhD in a relevant field
-
close to completion of a relevant PhD. You will manage your own academic research, effectively coordinating multiple strands of work. Direct experience in molecular genetics and/or plant-microbe interactions
-
Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
About the Role Molecular Framework Materials (MFMs) are of strong interest worldwide due to their porosity, crystallinity and chemical functionalizability / tunability making them appealing for a
-
would like to work in collaboration between biophysics, structural biology and biochemistry, then join us. Our labs (Pombo-Garcia & Wu) are interested in molecular organisation of cell interfaces in
-
electrochemistry. Our goal is to combine electronic structure theory, molecular and quantum dynamics methodology, and machine learning methods to achieve an accurate yet computationally feasible description