Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ICN2
- Chalmers University of Technology
- CIC energiGUNE
- Center for NanoScience Munich
- Chalmers tekniska högskola
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Delft University of Technology (TU Delft); yesterday published
- International Iberian Nanotechnology Laboratory (INL)
- North Carolina A&T State University
-
Field
-
5 Dec 2025 Job Information Organisation/Company Center for NanoScience Munich Department Faculty of Physics Research Field Physics Researcher Profile Recognised Researcher (R2) Positions Postdoc
-
with the application of Algorithms, Artificial intelligence (AI), and Machine Learning (ML) methods to accelerate material discovery and design, optimizing manufacturing processes in nanoscience
-
As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new
-
As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new
-
As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new
-
construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
-
. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group: Atomistic & Molecular Modelling for Catalysis Group Requirements Specific Requirements PhD in Chemistry
-
construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
-
properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
-
, algorithmic aspects, such as Parallelization, Fisher Information and Maximum Likelihood Estimation, with optical theory. Department of Imaging Physics Research in the department of Imaging Physics is aimed