115 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"Inserm" positions in Switzerland
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linking ML, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML
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Translational Center’s Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in
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, Python, or C++ is required. A strong interest in numerical modelling, sound, signal processing and programming is expected. Additionally, very good command of German and English as well as experience with
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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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pipeline in design. If you are a highly motivated and creative individual with a passion for innovation, we want to hear from you. Project leadership & coordination: Plan and deliver work packages, manage
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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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. 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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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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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