Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
to automatically process user manuals or process videos and extract relevant information. Further research will focus on advanced computer vision algorithms for defect detection. The research projects are usually
-
to the high number of parameters involved and the required computational time. The new ETH Mobility Initiative project, Future Uncertainty in Transportation and URban systems for Enhanced Strategic planning
-
high-performance computers to better understand our planet and to address pressing environmental and societal challenges. The heart of ETH Swiss GeoLab will be a technological platform designed to
-
As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural
-
Your position The Professor of Systems Developmental Medicine will probe and integrate multi-omic data sets (i.e. genetic, epigenetic, transcriptional and metabolomic data) to create computational
-
Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
-
development of the microbiome bioinformatics platform QIIME 2 and related bioinformatics tools. Key Qualifications Masters degree or bachelors degree plus equivalent experience in computer science, data science
-
experience CH/EU/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in engineering, mechatronics, computer science, or a related field Experience in machine learning, signal
-
microbiology, as well as bioinformatics and the analysis of big datasets. Moreover, the Biozentrum offers excellent internal support from various core facilities with expert staff, and a structured PhD program
-
100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof