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and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and
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analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and ionomer
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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graduate-level class of “CMOS Electronics for Biological and Molecular Sensing” as well as mentoring PhD, master, and bachelor students. Living cells such as neurons can be viewed as biological systems with
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Network with 15 funded 3-year PhD positions in parallel. Your profile Master Degree in environmental/natural sciences or engineering, or similar. Experience with developing computational models Preferably
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properties. In parallel, they continuously sense and respond to diverse mechanical cues from their environment, including adhesion, stiffness, tension, shear, pressure, and confinement. These cues
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biological scales. Project background Cells are mechanically heterogeneous systems composed of proteins, membranes, and compartments with distinct physical properties. In parallel, they continuously sense and
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physics simulation, rendering, and neural graphics. Profile Bachelor’s, Master’s, or PhD in Computer Science, Computer Graphics, or a related field. Strong proficiency in C++ and Python, with a track record
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To be eligible for a PhD at EPFL, note that candidates also need to be enrolled in one of the EPFL doctoral school programs. This is a separate application process that you can start in parallel. We