Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- Empa
- ETH Zürich
- University of Basel
- Paul Scherrer Institut Villigen
- Nature Careers
- University of Bern
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- EPFL
- European Magnetism Association EMA
- Fluxim AG
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Universität Bern
- 3 more »
- « less
-
Field
-
the laboratory's past and ongoing work within the context of AI-guided Design, Inverse Design, and Optimization across different application domains. In particular, we are developing scientific research
-
would build upon the laboratory's past and ongoing work within the context of AI-guided Design, Inverse Design, and Optimization across different application domains. In particular, we are developing
-
. Additional familiarity with building your own embedded sensing sensing setup is a strong plus (e.g., for EMG/ECG/EOG or other differential or regular sensors). An optimal background for the project would be
-
mechanisms underlying bacterial infections and the emergence of antimicrobial resistance, and (2) evaluate novel treatment strategies. A key objective is to optimize the platform for translational applications
-
on the spectroscopic elucidation of transport properties in doped organic thin films. The main tools will include film preparation, optimization of doping protocols, electrical conductivity measurements, temperature
-
these circuits into functional cellular therapies. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and
-
-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet
-
(FTEs) and Functional Service Providers (FSPs) in the assigned countries. This position works with the team to optimize trial delivery and operational performance while ensuring compliance with Good
-
into functional cellular therapies. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and executing protocols
-
for the simulation of a wide range of future scenarios, and 3) advance the use of sequential decision analytics (e.g., reinforcement learning or stochastic optimisation) for the identification of optimal adaptive