Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
understanding of WS/DP adsorption to solid–water interfaces, including soils, sediments, sludge, and model mineral/organic surfaces. Experimental studies will investigate polymer–surface interactions, adsorption
-
and resilient materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both
-
, computational quantum many-body physics, and machine learning The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for postdoctoral positions to work at the intersection of computational
-
interferometry, isothermal titration calorimetry, or similar) and cellular assays. Expertise in bioinformatics and programming is advantageous. Experience in structure-based design or generative models is a plus
-
. Experience in modelling and analysis of energy systems. Excellent knowledge of English. Good command of German is a plus. Strong analytical skills, self-driven personality and willingness to learn. Excellent
-
epithelium. We make use of state-of-the-art in vivo and in vitro organoid and microbiota models, omics techniques and bioengineering approaches to dissect cellular crosstalk in the intestinal mucosa in
-
responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
-
Metagenomics, meta-transcriptomics and metabolomics data analysis and familiarity with gut microbiome research. Machine learning for genomics (representation learning, generative models, causal inference). Multi
-
cryo-EM workflow (sample/grid preparation, data acquisition, data processing, model building and interpretation). The writing of scientific papers and active participation in internal meetings and in