Sort by
Refine Your Search
-
practical programming experience. German language skills are a plus, as the retrieved documents will be written in German. Experience with Large Language Models (LLMs) and/or RAG deployment, for example with
-
understanding of effects related to high electric field strengths and voltages and their application. We work with a very strong experimental focus and our researchers plan, design, construct, build, commission
-
) programme on Artificial Intelligence and Machine Learning for Weather, Climate and Environmental Applications (E-AI). EUMETNET is a network of the 33 European National Meteorological Service, which exists
-
programming skills (Matlab/Python, C(++)) and experience with deep learning frameworks such as PyTorch, TensorFlow, Keras has been in your focus. Further, experience with standard supervised machine learning
-
, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with the ability to work across frontend, backend, and embedded
-
the MSc MTEC program. Access to a vibrant, interdisciplinary academic environment with excellent collaboration opportunities. You will be part of ETH Zurich’s network of educational specialists, providing
-
university. Experience working with scientific data, demonstrating a methodical approach. Basic Python programming/scripting skills for data manipulation and automation. Meticulous attention to detail
-
student at ETH Zurich or another Swiss university. Proven experience in software development. Strong Python programming skills, with demonstrable experience in several of the following areas: GUI
-
, conceptualizing and bringing projects to life You have demonstrable experience with digital tools (e.g. Docker, networking, Unix, Windows) You’re proficient in at least one programming language (e.g. Python
-
fields Good knowledge of programming languages such as R, Python, Matlab, Mathematica or equivalent Experience in data analysis and parameter inference methods is a plus Experience in teaching and interest