Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
University of California, Davis, Department of Physics & Astronomy Position ID: UCD -Physics&Astronomy -CMSPOSTDOCS [#28283] Position Title: Position Type: Postdoctoral Position Location: Geneva
-
and infrared imaging, in-situ synchrotron imaging). Your tasks The candidate will study physical phenomena such as internal laser beam reflection, beam trapping in powder streams and powder beds, multi
-
: Postdoctoral Position Location: Basel, Basel-Stadt, Switzerland [map ] Subject Area: Theoretical Physics / Quantum Condensed Matter Theory Appl Deadline: 2025/06/30 11:59PM (accepting applications posted 2022
-
tasks Conduct combinatorial physical vapor deposition and automated characterization together with other team members Perform accelerated optical degradation tests of transparent conductive materials
-
sensing, and field sampling, and use these data to answer questions with statistical and process-based models. Project background We are inviting applicants for a postdoctoral position, starting as soon as
-
100%, Zurich, fixed-term The Electrochemical Energy Systems Laboratory in the Department of Mechanical and Process Engineering at ETH Zurich invites applications for a Postdoctoral Researcher
-
selection process with applications accepted year-round. Eligibility requirements: Candidates should hold a PhD degree in computer science, data science, mathematics, physics, statistics, or electrical
-
, with the shared vision of translating research to practical solutions for more sustainable and liveable cities, resilient physical and social urban systems, and patient-centric healthcare systems. As a
-
oxide catalysts for the oxygen evolution reaction The Laboratory of Energy Science and Engineering (LESE) headed by Prof. Müller (ETH Zürich, Department of Mechanical and Process Engineering) is looking
-
PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials