70 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"https:"-"CNR" positions at ETH Zurich
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running on distributed systems; main programming languages and technologies include Python, Numpy, Xarray, and C++. Ensure the data processing framework remains highly performant, scalable, and cloud-native
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) of the following: energy systems analysis with mathematical optimization (emphasis on adequate modelling, problem formulation), electricity markets, renewable gases (e.g. hydrogen). Provable programming skills
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nanocatalysts, enabling closed-loop programming of human cells for efficient real-time in situ diagnosis and therapeutic intervention. There will also be opportunities to develop novel supramolecular implants and
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of complex tools or systems. Technical Skills: Excellent programming skills (e.g., Python, C++, or similar). Experience with data management, database systems, and API development. Knowledge of software
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detection, quantification, or catalogue analysis. Programming skills in Python; experience in scientific software development and C++ would be regarded positively. Familiarity with seismic data processing and
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the Community Earth System Model (CESM) Strong programming skills are required. Good knowledge of English (spoken and written) is essential. Employment will be according to standard regulations at ETH (funding
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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