Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Germany
- Spain
- Sweden
- Netherlands
- Singapore
- Portugal
- Poland
- Norway
- Denmark
- Belgium
- Finland
- Italy
- Cyprus
- Ireland
- Luxembourg
- Austria
- Canada
- Hong Kong
- Switzerland
- United Arab Emirates
- Czech
- Estonia
- China
- Morocco
- Australia
- Romania
- Andorra
- Japan
- Latvia
- Malta
- New Zealand
- 24 more »
- « less
-
Program
-
Field
-
Expertise in FEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng) or eligibility is a plus. Candidates for Professor or above should have
-
semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills
-
Methods for Partial Differential Equations and Functional Analysis, programming skills (e.g., Matlab or Python), international experience, and excellent proficiency in written and spoken English are
-
, XPS/AFM, electrical probing; DoE/statistics (Python/Matlab a plus). Strong documentation, safety discipline, and clear communication in English. Process integration & optimization; root-cause/failure
-
with material characterization such as XRD, SEM, FTIR, ICP-OES Very good programming and user skills in Python, MATLAB, LABVIEW or comparable technical computing and simulation environments Good English
-
(such as R and Python), and other data analysis tools (such as MATLAB, SPSS, SAS, Qualtrics, and Tableau). Experience training and consulting on the development of data management and sharing plans
-
programming (e.g., Python, R, MATLAB) Experience in scientific writing and manuscript preparation for peer-reviewed journals Ability to work independently and collaboratively in an interdisciplinary team
-
monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
-
reviews to guide experiment design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory
-
research potential. Candidates will be considered with background in the areas of hyperbolic PDEs and optimization problems. Expertise in numerical simulations (with Matlab or Python) will be valued