226 embedded-system-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" positions at ETH Zurich
Sort by
Refine Your Search
-
100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
-
The PhD position is funded by the Swiss National Science Foundation (SNF), through the project “The Economics of Inheritance and Inter-Vivos Gifts ”. The project is led by Dr. Isabel Z. Martínez
-
100%, Zurich, fixed-term The newly established Plant Disease Dynamics group at the ETH Zurich is looking to recruit a fungal genome biologist interested in the ways in which transposons shape
-
40%-100%, Zurich, fixed-term The Chair of Energy Systems Analysis (ESA), within the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zurich, is looking for a Scientific Assistant to
-
are offering a PhD position and a postdoctoral position. Project background The project RadiantDx is a multidisciplinary, collaborative project that addresses the diagnosis of sepsis. Sepsis is a severe health
-
towards generalizable principles across content areas and issues of societal relevance. The group is looking for a postdoctoral researcher to contribute to ongoing research on Large Language Models as
-
environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future . Curious? So are we. We look forward to receiving
-
80%-100%, Zurich, fixed-term The brain is a very complex system consisting of billions of neurons that interact with one another. Capturing this network activity at a single-cell level from multiple
-
income mobility and related outcomes across generations, focusing on differences by gender, career trajectories, and perceptions and beliefs about intergenerational mobility. The project is led by Dr
-
industrial partners to tackle advanced modelling, simulation, sensing, and data analysis challenges in engineering systems across sectors. Project background The COMBINE Doctoral Network aims to train a cohort