14 Physics-"https:"-"https:"-"https:"-"CEA-IRIG" Postdoctoral positions in Switzerland
Sort by
Refine Your Search
-
by beam (e.g. laser light, electrons) and plasma induced processing. LAMP provides full cycle technology development, starting from novel materials, deep understanding of the background physics of beam
-
materials synthesis with synchrotron radiation, neutron scattering, spectroscopy and electroanalytical methods. A major research direction is the development of physical methods and models for the description
-
energy systems and datasets. Validate and benchmark the developed models using building measurements, physics-based simulations and energy-system optimization models. Investigate how tabular foundation
-
the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
-
-loop drug discovery. The project aims to establish an integrated Design–Make–Test–Analyze (DMTA) platform combining generative AI, ultra-large synthetically accessible chemical spaces, physics-informed
-
process? The primary focus will be on algorithm development, followed by their demonstration at synchrotron experiments. You will start working with real already existing experimental datasets and will have
-
the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
-
Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, computer science, or a related field. Postdoctoral applicants must hold, or be close to completing, a
-
data manipulation techniques that exploit optimally the underlying hardware and I/O devices, and we enable new discoveries in scientific domains through automating physical database design and
-
, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in generative AI, such as diffusion models, flow matching