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, depending on their individual skills and experience. The Ph.D. candidate should choose one of the following topics: - Theoretical investigations of the band structure topology and/or magnetism via density
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two-dimensional crystals; - Studies of the effects of magnetoelectric interactions in multiferroic structures, including multiferroic van der Waals materials. Key words: quantum mechanics, solid-state
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of materials manufactured using additive technologies, analysis of the behavior of materials and structures under complex loading conditions, development and validation of material models based on experimental
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of artificial intelligence. The work will be interdisciplinary in nature and will involve close cooperation with research teams in the construction, optimisation and implementation of analytical tools and
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structure and quantum chromodynamics, 2) Experience in the use of machine learning and high-performance numerical computations, 3) Readiness to teach courses in physics and computer science in English
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, the Candidate’s personal data will be processed on the legal basis of Article 6, Section 1, Paragraph f of the GDPR. Access to personal data within the Administrator's organizational structure shall be granted only
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the Administrator's organizational structure shall be granted only to the employees authorized by the Administrator in the necessary scope. Personal data will not be disclosed to other entities, except to entities
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on the legal basis of Article 6, Section 1, Paragraph f of the GDPR. Access to personal data within the Administrator's organizational structure shall be granted only to the employees authorized by
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Natural Sciences Discipline Biological Science Scope Biochemistry / Molecular Biology / Structural Biology Number of posts 1 Type of employment Employment contract Working time 1/1 Planned duration
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: https://genomikadlapolski.pl/ ." We are seeking an ambitious individual to join the Laboratory of Genomics IBCH PAS and engage in the work of the G4PL project team, related to the analysis of genomic data