Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- Empa
- Nature Careers
- University of Zurich
- EPFL
- Paul Scherrer Institut Villigen
- University of Geneva
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- Ecole Polytechnique Federale de Lausanne
- Ecole Polytechnique Federale de Lausanne - EPFL
- Fluxim AG
- Prof. Dr. Ricarda Toerner
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Bern
- Universität Basel
- École Polytechnique Fédérale de Lausanne (EPFL)
- 8 more »
- « less
-
Field
-
100%, Zurich, fixed-term The Laboratory for Intelligence in Design Engineering and Learning (IDEAL) in the Department of Mechanical and Process Engineering invites applications for a Post-doctoral
-
systems as most biomolecules are chiral and their interactions with other chiral objects are fundamental to many key biological processes. Chiral molecules exist in two forms, a left-handed one and a right
-
be responsible for a project on the validation of novel bacterial infection models on the system-wide molecular scale. On the experimental side, the work will revolve around the operation of different
-
of semiconductor properties through electronic doping to control and modify its electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve
-
to the file-naming conventions explained below. Incomplete applications will not be processed. Table 1: Document list. Document Name Type of information Access Contents/Remarks Cover_Letter_name_of_applicant
-
of machine learning and optimization methods in manufacturing. We aim to create intelligent systems for process parameter selection, condition-based maintenance, and human-machine interaction. Job description
-
Perform experiments in PSI laboratories and at synchrotron radiation facilities, data processing and analysis Optimization and automation of reaction parameters, correlation of the structural data with
-
, Python, or C++ is required. A strong interest in numerical modelling, sound, signal processing and programming is expected. Additionally, very good command of German and English as well as experience with
-
of semiconductor properties through electronic doping to control and modify its electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve
-
and graduate levels. Teaching will primarily take place within the Life Sciences Engineering curriculum, and the ability to teach STEM subjects will be a positive factor in the evaluation process. EPFL