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
- Academic Europe
- EPFL
- European Magnetism Association EMA
- Fluxim AG
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Universität Bern
- 4 more »
- « less
-
Field
-
approaches toward sustainable dairy farming, leveraging advanced statistical modeling, machine learning, and AI to uncover biological insights and optimize production efficiency, animal health and
-
an interest in bridging rigorous theoretical insights with challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex
-
analysis. Experience in formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral communication skills in German are desirable
-
, precision livestock farming, and multi-omics approaches toward sustainable dairy farming, leveraging advanced statistical modeling, machine learning, and AI to uncover biological insights and optimize
-
the bacterial import process, optimizing the system for high performance, and then applying it to problems around therapeutic peptides and proteins. The focus of the work is experimental and will include a broad
-
the Multiphase Fluid Dyamics group (Prof. Supponen) has a focus on modelling and high-speed imaging to optimize bubble generation and control, and the resulting particle dynamics and interaction with cells using
-
. The optimal exploitation of digital tools in system development processes facilitates an effective and efficient process. To effectively capitalise on the existing knowledge base, digital tools, e.g., large
-
100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
-
hands-on learning experiences or with computational elements relevant to Artificial Intelligence or Optimization, in addition to running your research group. Since this is a leadership position, your
-
worldwide in industrial and academic research labs for device and material optimization as well as for the study of device physics. Leading manufacturers and academic institutes rely on our tools for electro