66 data-"https:" "https:" "https:" "https:" "Newcastle University" PhD positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Basel
- Empa
- ETH Zürich
- Paul Scherrer Institut Villigen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- EPFL
- Ecole Polytechnique Federale de Lausanne
- Friedrich Miescher Institute for Biomedical Research
- Inselspital Bern
- Physikalisch-Meteorologisches Observatorium Davos (PMOD)
- University of Berne, Institute of Cell Biology
- Università della Svizzera italiana (USI)
- 2 more »
- « less
-
Field
-
of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
-
(completed or near completion) in a relevant field (e.g., Environmental or Soil Sciences, AI, Data Science, Geosciences). Basic knowledge of soil science and strong interest in AI and soil health. Experience
-
programs . Application Form & documents to upload You will first have to fill in the online application form . Requested information: your personal details your academic background the doctoral program you
-
contact details of 3 referees Applications should be submitted in English. Enrollment at the University of Basel for the successful candidates is mandatory. For more information, please contact Professor De
-
subtype of dementia. Your tasks This interdisciplinary PhD project combines atomic force microscopy, fluorescence microscopy, chemical spectroscopy, biophysics and data analytics. The PhD student will be
-
-based optimization, enabling autonomous measurement campaigns and real-time data assimilation. This research combines fluid mechanics, artificial intelligence, and robotics to establish the foundation
-
of electron spectroscopy experiments Modelling of experimental data Your profile The position is immediately available for a candidate with a master's degree (or equivalent) preferably in physics, physical
-
) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
-
development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors for airborne virus
-
analyze how these factors influence vote choice, and how the role of quality in elections can be strengthened. Empirically, the project combines surveys, survey experiments, and text-as-data methods.