25 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" positions at ICN2 in Spain
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
well as regional efforts such as the Quantum Catalan Academy (https://cataloniaquantum.eu/ ) and the Master in Quantum Science and Technology (https://quantummasterbarcelona.eu/ ). These initiatives contribute to a
-
Process in the Interviews phase Project Title: Data-Driven Optimization of PtAg Hollow Nanocrystals Synthesis - Master's degree internship Group:Inorganic Nanoparticles Group, ICN2 Supervisor: Dr
-
PhD position funded by AEI agency (Spanish Government) TOPIC: Magneto-ionics for information technologies: secure and energy-efficient memories and advanced computing A PhD position is available
-
(Led by Dr Andrés Henao) and the Inorganic Nanoparticles Group at ICN2 (Led by Dr. Neus G. Bastús). focuses on the rational design and synthesis of advanced inorganic nanomaterials through wet-chemistry
-
collaboration of 14 European research institutions and is funded (https://cordis.europa.eu/project/id/101136269) by the European High Performance Computing Joint Undertaking as part of the Horizon Europe program
-
areas of nanoscience and nanotechnology. Job title: Doctoral Student Research area or group: Inorganic Nanoparticles Description of Group/Project: The Inorganic Nanoparticles Group at ICN2, led by Dr
-
. Jordi Arbiol and Dr. Alba Garzón Manjón. The objective is to enable correlative in-situ (S)TEM experiments for addressing some of the scientific challenges of the European Green Deal plan, to promote a
-
. Generate structural and electronic descriptors to support the development and training of machine learning models for materials discovery. Contribute to the definition of FAIR data standards for the results
-
beyond conventional binary "bits" toward multi-level and analog memory systems that enable richer information encoding. A major thrust of the group is the development of in-memory and physical computing
-
implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain