18 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at ICN2
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valued. · Knowledge of chemical reactions and how to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials
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computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic lab book · Work in compliance with relevant Health and Safety
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internal reports and manuscripts. Requirements: Minimum (required) PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge molecular dynamics
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benchmarking. Contribution to SIESTA training events. Contribution to other activities in the group. Requirements: PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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conferences, and in outreach activities within the project. Supervision of PhD students. Requirements: PhD Degree in Organic Chemistry (essential requirement; no CV will be evaluated without this requirement
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of electrocaloric and pyroelectricity in ferro- and antifferroelectric oxide membranes. Requirements: Education: PhD in Physics Knowledge: Phase transitions. Ferroelectrics. Oxides. Nanocalorimetry: Heat capacity
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of PhD students. Requirements: PhD Degree in Organic Chemistry (essential requirement; no CV will be evaluated without this requirement.) Knowledge and Professional Experience: Organic Chemistry is an
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benchmarking. Contribution to SIESTA training events. Contribution to other activities in the group. Requirements: PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
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: Education: PhD within the field of electrochemistry. Knowledge andProfessional Experience: Experience in electrocatalysis and scanning tunnelling microscopy (STM) Relevant publications within STM and