Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- Nature Careers
- Paul Scherrer Institut Villigen
- Empa
- University of Zurich
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- ETH
- Adolphe Merkle Institute
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- HES-SO Genève
- CERN
- EPFL
- Ecole Polytechnique Federale de Lausanne
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies, Geneva;
- Idiap Research Institute
- Inselspital Bern
- School of Architecture, Civil and Environmental Engineering ENAC, EPFL
- University of Geneva
- University of Zurich, Institute of Education
- Università della Svizzera italiana (USI)
- 13 more »
- « less
-
Field
-
At ETH Zurich, in close collaboration with the spin-off optohive, we are developing a new generation of functional near-infrared spectroscopy (fNIRS) technology to enable fast, wearable brain
-
. If this applies to you, we would greatly appreciate your feedback. Please take three minutes to complete our short, anonymous survey and let us know about any challenges you encountered or reasons for not
-
transcripts. Contact details of 2 referees (please inform them that they might get contacted). Further information about the Institute of Molecular Physical Science can be found on our website . Questions
-
leading role in developing and implementing predictive algorithms designed to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi
-
nanolithography by chemically functionalized AFM Tip Fullerene-based biomaterials Supramolecular complexation and self-assembly You can find out more about our group on our website . Job description Organic
-
data collectedfromtwo cattle breeds. Existing PacBio HiFi sequencing data will be complemented with ultra-long sequencing using ONT to build near complete assemblies for the sex chromosomes. This sub
-
clusters building blocks before assembly into MOFs. We care about stability of the MOFs under real conditions. This is a versatile project that takes you from inorganic synthesis to materials
-
information about the institute can be found on our website and about Prof. Dr. Eva Heinen . Questions regarding the position should be directed to Prof. Dr. Eva Heinen eheinen@ethz.ch (no applications). About
-
(e.g. LangChain, vector databases, RAG architectures) is a plus Required people skills Self-motivated, structured, and curious about emerging AI technologies Strong analytical mindset with hands
-
. Applications via email or postal services will not be considered. Further information about our research group can be found on this website . Questions regarding the position should be directed to Prof. Michael