7 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" scholarships at ICN2
-
at the 'Group of Smart Nanoengineered Materials, Nanomechanics and Nanomagnetism -Gnm3' (https://jsort-icrea.uab.cat/) of the Universitat Autònoma de Barcelona (UAB). The position is in the framework
-
APPLICATION AREAS OF RESEARCH Health Energy Environment Information, communication and quantum technologies Candidates can review the research lines here: http://icn2.cat/en/research During the application
-
to support machine learning model development to accelerate materials discovery: Perform high-throughput DFT and molecular dynamics simulations to investigate the thermodynamic, structural, and electronic
-
characterization, and integration of machine learning to correlate synthesis conditions with functional performance. The goal is to establish predictive synthesis strategies for oxygen vacancy control, with
-
: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
-
skills Excellent organizational and time-management skills, including the ability to deliver timely and high-quality outputs Enthusiasm to learn new skills outside own discipline Summary of conditions
-
characterize new reticular materials (COFs), and use them as precursor for the generation of new polymers via Clip-off chemistry. The candidate will acquire a great experience in supramolecular, reticular and