Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- ETH Zurich
- EPFL
- University of Basel
- Empa
- ETH Zürich
- University of Zurich
- ;
- IMD Business School
- Paul Scherrer Institut Villigen
- UniDistance Suisse
- University of Bern
- CERN
- Département de microbiologie et médecine moléculaire
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- ETH ZURICH
- European Magnetism Association EMA
- Fondazione per l'Istituto oncologico di ricerca IOR
- Geneva Graduate Institute
- Graduate Institute of International and Development Studies, Geneva;
- Idiap Research Institute
- Institute for Research in Biomedicine (Bellinzona)
- Swiss Federal Institute of Technology Lausanne, EPFL
- UNIGE
- University of Bern | Inselspital, Bern University Hospital
- University of Chicago
- University of Geneva
- University of Lausanne (UNIL)
- University of Zurich (UZH)
- University of Zurich;
- Universität Basel
- 20 more »
- « less
-
Field
-
training Generate and validate synthetic or gym training tasks Run ablation studies comparing algorithms, reward functions, data mixtures, hyperparameters, and infrastructure settings Evaluate model
-
algorithms to store, manage, and interpret data. To meet the challenges, database software needs to communicate efficiently both with the application layer and with the underlying hardware platforms, and
-
methods towards the envisioned automated platforms. Job description Your main task will be designing, setting up, and performing novel experiments using microfluidics, spectroscopy, and algorithm-driven lab
-
develop novel learning-based control and policy optimization techniques. We're looking for a skilled machine learning (ML) engineer to develop cutting-edge AI algorithms for digital twin applications in
-
, optimization and inverse problems, computational aspects of stochastic (partial) differential equations, randomized numerical algorithms, structure-aware and structure-preserving numerical methods for continuum
-
or CT scans in seconds. This PhD project will build and validate such AI models, extending them from single-timepoint prediction to longitudinal, personalised fracture-risk trajectories using repeat
-
of their PhD, during which they will develop research proposals for submission to a funding body in order to acquire financial sup-port for the remaining duration of their PhD-projects. The payment of the second
-
and highly interdisciplinary research environment, bringing together expertise in theory, nanoparticle science, OLED technology, and organic chemistry. You will work closely with two ongoing PhD
-
independently complex software Ability to model and work with algorithmic design, existing software and data provided by industrial partners Knowledge of mathematical optimisation (MILP, IP, LP) and/or control
-
way, so that they become more flexible, dexterous, capable, and adapt better to their environment. The lab has showcased its research in robotic design and algorithms through real-world applications