Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
-
areas of nanoscience and nanotechnology. Job Title: Postdoctoral Researcher (Computational Materials Science - AI for Catalysis) Research area or group: Theory and Simulation Group The Australia-Spain
-
ICN2 PhD Programme Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field
-
Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
different areas of nanoscience and nanotechnology. Job Title: Research Engineer - Tools developer for LSQUANT platform Research area or group: Theoretical and Computational Nanoscience Group Description
-
Professional Experience: PhD and at least 3 years postdoc experience in relevant areas of expertise. Personal Competences: Diligent, enthusiastic, ability in theory and experimental physics. Summary
-
to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
-
others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: April-September 2026 This Contract is linked to the AMSwitch
-
Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme
-
activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: as soon as possible How to apply: All applications must be made via the ICN2 website and
-
(S)TEM. Requirements: Education: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods