Sort by
Refine Your Search
-
Listed
-
Employer
- ETH Zurich
- University of Basel
- Nature Careers
- ETH Zürich
- Empa
- HES-SO Genève
- CERN
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Paul Scherrer Institut Villigen
- School of Architecture, Civil and Environmental Engineering ENAC, EPFL
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- 1 more »
- « less
-
Field
-
and CHUV NB: As part of the structural reorganisation of the DP, the scope of the Service is set to evolve. Therefore, the new Head will be involved in this process. UNIL and CHUV are committed
-
description The aim of this doctorate is to quantify transitions in firn structure, albedo, and temperature of selected glaciers in Switzerland and Central Asia, and determine the consequences of
-
establish (semi-)quantitative polymer structure–adsorption relationships by linking polymer and sorbent properties to experimentally collected adsorption and desorption data. Specific tasks include: Conduct
-
and duty-cycling strategies responsive to structural dynamics. Energy harvesting and lifetime optimization. Integrate multi-source energy harvesting (vibration, solar, RF, etc.) and dynamic power
-
well as skills in dynamics & structural health monitoring, data analysis and modelling, and interest in laboratory-based experimentation and engineering applications. A solid knowledge of English as the spoken and
-
to perform structured, well-documented experimental work. Strong motivation to work with animals. Curiosity for science. Good communication and teamwork skills. Proficient in English language. Desired (but not
-
to study lymphatic morphology and leukocyte migration. We are currently recruiting a postdoctoral researcher to investigate the structure and function of human pulmonary lymphatic networks in health and
-
materials, surgical technologies. Ability to collaborate and communicate across engineering, materials science - chemistry, manufacturing, and clinical teams. Structured, detail-oriented, and rigorous
-
programming experience (Python, Julia, or similar). Interest in seismic, acoustic, or sensor data. Ability to work with large datasets and structured file systems. Good documentation and organizational skills
-
of Biosystems Science and Engineering (D-BSSE) Student Research Assistant - Scientific Machine Learning for Engineering Systems 10%-30%, Zurich, fixed-term 13.02.2026 | Structural