Sort by
Refine Your Search
-
Tasks and responsibilities: The PhD position is framed within the MAIAMI project. The student will work on DFT and molecular dynamics simulations, generating structural and electronic descriptors
-
). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different areas of nanoscience and nanotechnology. Job Title: PhD on in
-
areas of nanoscience and nanotechnology. Job Title: PhD student - Automating acquisition in STEM PECATHS Project Research area or group: Advanced Electron Nanoscopy (GAeN) Group Description of Group
-
Perovskite Solar Cells for Printed Electronics. Main Tasks and responsibilities: General Objective: Synthesis, Fabrication and Characterization of Pb-Free Halide Perovskites Photovoltaics. Specific Objectives
-
areas of nanoscience and nanotechnology. Job title: Postodoctoral Researcher Position in (Scanning) Transmission Electron Microscopy of Catalytic Materials for Green Hydrogen and Energy Applications
-
areas of nanoscience and nanotechnology. Job Title: PhD STUDENT (INTRANASAL TREATMENT AND IMAGING OF NEUROLOGICAL DISORDERS USING NANOPARTICLES) Research area or group: Nanostructured Functional Materials
-
innovation across the entire materials life cycle. Within the framework of the MAIAMI project (Multimodal Artificial Intelligence Platform for Accelerated Materials Innovation), the PhD researcher will work
-
: Education: PhD in Biomedical, Neuroengineering, Electronic or Electrical Engineering, Physics, Bioinformatics or related engineering fields · Advanced Python / MATLAB programming skills. · Electrophysiology
-
presentations in workshops or conferences to showcase your research results to the scientific community. · Skills on proposal writing Requirements: Education: PhD degree in electronic engineering, physics
-
+ EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: · Education: PhD in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. · Knowledge: Deep