-
particular the development of generative AI technologies such as diffusion models, flow matching, generative transformers, or related architectures. The position is highly methodological and focuses
-
antibody discovery Good knowledge of single-cell RNAseq workflows such as 10X genomics or DropSeq, experienced in flow cytometry Good knowledge in cell biology and biochemistry Prior experience in
-
training costs are exploding, largely due to energy and bandwidth inefficiencies in current electrical datacenters. Our group is developing a novel Optical Circuit Switched (OCS) architecture
-
to 3D transistor architectures and stacked, hybrid-bonded devices, non-destructive, high-resolution 3D imaging is becoming a necessity. Unfortunately, current 3D X-ray nanoimaging methods
-
biophysics lab aiming to understand how fluid flows and mechanical properties emerge from the collective activity of molecular assemblies in living cells. We also investigate the biophysical mechanisms by
-
for this position (max 2 pages). A detailed CV. A research statement highlighting your past research achievements, current interests, and potential research directions for this project (max 3 pages). Contact details
-
for this position (max 2 pages). A detailed CV. A research statement highlighting your past research achievements, current interests, and potential research directions for this project (max 3 pages). Contact details
-
material supply-chains. Develop comprehensive digital assessment methods to evaluate whole-life material flows and their associated impact across sectors to inform policy and practice. Engineer whole-life