80 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at ETH Zurich in Switzerland
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, mechanical, or industrial engineering. You are driven by an interest in developing novel theory and methods for solving real-world problems. Programming, modelling, and data analysis skills in python and
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(MSc., M.Eng. or equivalent) in Computer Science or related field Requirements for the position: strong programming skills (C#, Unity3D, Python, JS) experience with interactive system prototyping, AR/VR
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histological datasets. Programming skills in languages such as R and/or Python. Experience with colorectal cancer research is an advantage. Ability to work independently and collaboratively in a fast-paced
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, positive attitude, and passion of research. Preferred Qualifications Interest in carbon crediting, carbon offsets, and the world of carbon finance. Competency in using a programming language (R, Python
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, or materials science. Background in solid-state physics and a demonstrated interest in experimental research. Programming for scientific simulations. Proficiency in oral and written English. Additional assets
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
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We are supported by the Wyss Zurich Translational Center (Wyss Zürich), a unique accelerator program, which is embedded into ETH Zürich and University of Zürich and addresses the booming fields
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plan to demonstrate the results on custom-built real-world 3D printing setups available at IfA and inspire. For a large-scale proof of concept, we will implement the results on a testbed combining
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integration Experience with programming languages and exposure to real-time imaging analysis Strong teamwork and communication skills for interdisciplinary collaboration *Applicants who do not fully meet all
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proteomics approaches for the analysis of post-translational modifications (e.g. phosphorylation, ubiquitination), or MS-based spatial proteomics. Basic programming skills and glycoproteomics experience