17 combinators-"https:"-"CIPMM---Systemic-Neurophysiology" Postdoctoral positions in Switzerland
Sort by
Refine Your Search
-
aiming to enable the next generation of explainable, data-efficient and safe AI systems. Our research investigates how the combination of latent and explicit data representation paradigms can deliver
-
of physical activity and sports in school settings. Our research group adopts a methodological approach combining behavioral measures with neurophysiological processes, using electro-encephalography (EEG
-
in socio-ecological research and combining qualitative and quantitative methods. You are fluent in at least one Swiss national language and English, both written and spoken, and have successfully
-
(UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and equitable urban energy systems. Our work combines technology and policy with systems thinking
-
Medicine (https://www.irem.uzh.ch/en.html) combines cutting-edge stem cell and bioengineering research to advance regenerative therapies. Based on bio-inspired principles and novel biomimetic technologies
-
resistance. This discovery opens new therapeutic avenues: pharmacological strategies targeting neuron-tumor crosstalk may slow disease progression where conventional treatments fail. This project combines
-
well as for data processing, integration, and interpretation. Current research directions include, for example, applying DIA-based strategies in large-scale studies, combining electron- and photon-activation methods
-
applications for a postdoctoral research position focused on the mechanotyping of complex cellular systems, combining cutting-edge nanotechnological tools, advanced cell biology, and systems-level quantitative
-
the interaction between wind farms and the atmospheric boundary layer using a combination of wind-tunnel experiments, field measurements, and advanced numerical simulations. The ultimate goal is to gain fundamental
-
, ranging from antibacterial to anticancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling. The candidate will have the opportunity