213 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO"-"CUBO" positions at ETH Zurich
Sort by
Refine Your Search
-
scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
-
evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
-
100%, Zurich, fixed-term The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of
-
will be put in place. Profile The ideal candidate will hold a PhD or equivalent in bioinformatics, computational biology, computer science, applied statistics, or a related field, with substantial (>6
-
a dynamic and international group of researchers. SMI is committed to research at the highest academic level in management and business, and the team has a strong track record of publishing in leading
-
interest and motivation to contribute to the project’s goals (see Job description section above) Outstanding academic record, including an excellent Master’s degree in Computer Science, Engineering, or other
-
is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
-
60%-80%, Zurich, fixed-term The Laboratory of Ecosystems and Landscape Evolution (ELE) and the Genome Engineering and Measurement Lab (GEML) at ETH Zurich are seeking a laboratory technician to join
-
Physics or Engineering with a specialization in precision instrumentation. Workplace Workplace We offer This position offers a unique bridge between high-level academic research at ETH Zurich and the fast
-
bioinformatician Support the training of Institute of Microbiology members in bioinformatics and computational biology through individual consultations and the organisation of training sessions (e.g. workshops