100 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at ETH Zurich
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
the “Basisprüfung” or its equivalent with good grades. MSc students and BSc students in the fifth semester or higher are preferred, although students earlier in their program will be considered if their grades
-
directly atop the CMOS chips. Job description Therefore, it will be necessary to develop technologies and methods to minimize or avoid light-induced artifacts on the HD-MEAs, to establish and program a setup
-
sensor systems Programming embedded platforms (e.g., STM32, ESP32, Arduino-based systems) in C/C++ and user interfaces in Python Developing and integrating new functionalities into our custom-built gas
-
running community programs, this person will be actively making things happen on the ground. You’ll help shape the future of AI entrepreneurship by translating strategic ideas into operational reality. Job
-
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
-
Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
-
of the CSS Think Tank head. As the CSS Mediation Support Team Administrator and Management Support, you will play a key role in ensuring the seamless operation of our team’s programs and projects. Your
-
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
-
) 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
-
, 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