Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Empa
- Nature Careers
- University of Zurich
- ; Ecole polytechnique federale de Lausanne - EPFL
- CERN
- EPFL
- EPFL FSB
- ETH ZURICH
- Ecole Polytechnique Federale de Lausanne
- European Magnetism Association EMA
- INSAIT - The Institute for Computer Science
- University of Geneva
- 4 more »
- « less
-
Field
-
computational science, computational biology, applied mathematics, physics, or a related field Strong, documented experience in C++ programming and solid software engineering skills — applicants should clearly
-
Practical experience on cutting-edge educational technology and AI Flexible and supportive working environment Direct mentorship from experienced software engineers and researchers Opportunity to contribute
-
development (e.g., PyQt, Tkinter) CUDA for GPU acceleration Scientific computing libraries such as NumPy and SciPy A keen interest in scientific computing, atmospheric sciences, or advanced instrumentation is
-
most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work
-
have a Bachelor’s or Master’s degree (any field of study is welcome - computer science is not a must-have) or can demonstrate equivalent knowledge and experience You are passionate about analyzing
-
80%-100%, Zurich, fixed-term The Department of Computer Science at ETH (D-INFK) is offering a new Master of Advanced Studies (MAS) in AI and Digital Technology. This is a continuing education
-
tools. Adept in software engineering with fluency in programming languages such as MATLAB, C++, C#, Java, Python (Napari, Stardist, Scikit-image), PHP, SQL, Tcl/Tk.). Knowledge of training and/or
-
Enrolled at ETH Zurich or the University of Zurich in computer science, information systems, data science, or related fields. Strong programming skills in Python. Experience with web scraping (e.g
-
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
-
80%-100%, Zurich, fixed-term The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP81 project