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written and oral communication skills Proficiency in machine Learning and density functional theory We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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research on 2D materials, including ferroelectric, multiferroic, topological, and moiré systems. Develop, implement, and apply advanced simulation techniques (e.g., density functional theory, tight-binding
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magnetic response. Development of machine learning methods for exchange-correlation functionals. Current work in the group is focused on improvements and performance optimizations for the recently developed
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academia, industry, and national laboratories Job Requirements: PhD in Materials Science, Chemistry, Physics, Computer Science, or a closely related discipline. Strong experience with Density Functional
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the neural mechanisms underlying goal switching and behavioural strategy selection, linking algorithmic theories of behaviour to defined microcircuits and pathways. The position will employ a multidisciplinary
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modeling and simulations, including density functional theory (DFT), molecular dynamics (MD), or ab initio molecular dynamics (AIMD), to investigate polyamide interfacial polymerization, interfacial
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with an end date of the 30th September 2028, which is part of the project “Currents and crystals in magnetised fundamental matter” funded by a Leverhulme Research Grant under the project leader Andreas
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Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description The work will be performed under the supervision of Dr G
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part of a proposal to be submitted for funding under the Marie Skłodowska-Curie Actions (MSCA) European Postdoctoral Fellowship program. The fellowship is contingent upon the selection and approval
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level transient spectroscopy (or related techniques) Experience with quantum defects and quantum defect characterization Experience with defect modeling using density functional theory or related