92 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "J" "J" uni jobs at ETH Zurich
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to run a world-class research and teaching program that emphasizes industrial translation of Artificial Intelligence methods within a Design and Manufacturing context. This position is envisaged to be part
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projects will combine molecular engineering, cell programming, and chemical–biological interfacing to engineer human cells using synthetic gene circuits and biosensing platforms, develop novel biosensing
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, biomedical engineering, mechanical engineering, or related discipline Solid background in the physics of microbubbles, ultrasound, or acoustics Experience with Verasonics ultrasound systems Strong programming
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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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. Strong experimental skills in optics, spectroscopy, microscopy, or related areas. Experience in programming and data analysis using Python, MATLAB, or similar tools. Experience in theoretical modelling
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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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) 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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(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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, 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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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