Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
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
-
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
-
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
-
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
-
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
-
The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable Robotic Material
-
100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
-
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
-
scientist holding a PhD in physics or astronomy, with a strong background in software development and machine-learning applications, demonstrated through contributions to open source projects and production
-
over 1400 PhD students & post-docs. Our purpose is to amplify the human potential by fostering breakthrough ideas with interdisciplinary AI research and enabling the path from science to society. We