Sort by
Refine Your Search
-
and sequence-based mechanisms of gene regulation. Current projects focus on deciphering the regulatory landscape of the human genome by integrating AI-driven enhancer modeling with GWAS data and
-
biophysical (e.g., FRET, ITC, SPR) and structural techniques (e.g. cryoEM) to characterize protein interactions Background in membrane biology or lipid biochemistry. Knowledge of neuroscience or synaptic
-
profile journals, as well as excellent scientific, organizational, record-keeping, problem-solving skills. The candidates will conduct independent research by characterizing the immune phenotypes
-
format with integrated porous membranes. Expertise with electrochemical (e.g., ElS, cyclic voltammetry), impedance cytometry or other electrical measurements of cellular behavior
-
of their internal interfaces, their integration for the realization of the microdevices, as well as their structural/chemical characterizations and electrochemical performances determination (ionic conductivity
-
for tires. This position is part of the Strategic Research Program “Tire as a sensor” in the joint project with Goodyear SA and explores how to transform mechanical energy from tires to a useful electrical
-
tools, integrated photonics device layout and nanofabrication in a cleanroom facility, and integrated photonics characterization including swept-wavelength spectroscopy, photoluminescence spectroscopy
-
Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
biomarkers (IGR burden, TAA burden, IMPREG signature) for immunotherapy patient selection, especially for TMB-low and PD-L1-negative cancers where current tools fall short. AI-powered precision oncology: Build
-
the possibility of remote/hybrid work when compatible with operational requirements. Inspiring working atmosphere: Integration into an international academic environment characterized by collegiality
-
immunogenicity. Over the past decade, this process has been well characterized, and robust methods have been developed to predict it with high confidence. In contrast, our understanding of the principles governing