165 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
oligomer formation govern polymerization pathways, phase behavior, and network evolution Understanding polymer–solvent interactions, aggregation mechanisms, and gelation kinetics in polyimide and related
-
strong support for personal and professional development. The PhD students will be enrolled in the ETH Zürich doctoral program. The position is available from April 1st 2026 or upon agreement. We live a
-
affect technology adoption, industrial development, policy design, and its socio-technical and political feedback effects. The project is embedded within ETH Zurich’s new Einstein School of Public Policy
-
material research. Funding for industrial internships and career development also fall under this category. A research plan is required for data collection or other research activities that involve
-
now be adopted for secretion recombinantly synthesized proteins for the first time. Job description The PhD-Student will perform the following tasks: Development of high throughput assays, typically
-
. The main research focus of our division is the relationship between physical activity and cognitive performance across development. Possible research topics within this position include, among others
-
As a Lab Automation Engineer at SwissCAT+ East, you will be responsible for the maintenance, troubleshooting, programming, and continuous development of a diverse portfolio of automated and high
-
development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors for airborne virus
-
crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
-
projects at ETH Zurich. Working closely with scientists, systems engineers, and external partners, you will contribute to the design, development, integration, and verification of spacecraft avionics systems