Sort by
Refine Your Search
-
Category
-
Field
-
and simple embedding alignment to develop architectures that can process and reason across modalities (vision, language, audio, sensor data) from the ground up. How do we build a truly unified
-
and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
-
Chemistry, Engineering Chemistry, Biochemistry, Biotechnology, Nanotechnology, or related fields. - Proven experience in one or more of the following areas: o (Bio)chemical sensors o Electrochemistry o
-
About the Role We are seeking brilliant and passionate Algorithm Researchers to join our core team dedicated to advancing the frontiers of Artificial General Intelligence (AGI). In this role, you
-
optical sensors, including in-sensor computing technologies. An expansion towards related thermal technologies, such as thermoelectrics or calorics, is also possible and encouraged. The ideal candidate will
-
, Materials Science, Chemical Engineering, Nanotechnology, or related fields. Proven experience in one or more of the following areas: o Electrochemical sensors and devices o Energy storage/conversion systems
-
as of April 2025) Katrin I. Andreasson, Stanford University Philip Beachy, Stanford University Lieping Chen, Yale University Don Cleveland, University of California, San Diego Yishi Jin, UC San Diego
-
harvesting, storage, distribution and applications Superconducting magnetic energy storage systems Solid-state battery, high density battery Smart green buildings (including air quality, sensors, well-living
-
learning, new algorithms, and AI for Science. The graduate program at CMLR is an interdisciplinary, international program aimed at producing the best talents at the frontier of all disciplines where machine