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The proposed PhD topic is embedded in a highly successful and internationally recognised research program devoted to the study of neutron-deficient odd-mass gold isotopes and key structural phenomena such as
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SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to rtg3120 at tu-dresden.de before the deadline. In exceptional cases where electronic submission is not possible
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: Biomedicine and Pharmacology Developmental and Regenerative Biology Genomics, Proteomics and Bioinformatics Metabolism and Physiology Molecular and Cellular Biology Neuroscience Computational Structural Biology
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will be characterized using structural techniques (XRD, BET), electron microscopy (TEM, SEM), UV-Vis absorption spectroscopy, and photo- and radio-luminescence. This thesis will be conducted in close
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 9 days ago
of electronic structure methods # Experience with Linux, Git and related tools # Knowledge in the field of high-performance computing # Strong motivation to work in a collaborative environment # Excellent
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for regenerative construction”, Project number 16820, operation code COMPETE2030-FEDER-00800400, financed by the Innovation and Digital Transition Programme (COMPETE 2030), by Fundação para a Ciência e a Tecnologia
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Salary Range $17.41-27.87/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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Matter Physics / cond-mat-th , Condensed Matter Physics, Electronic Structure, Strongly Correlated Materials , Condensed Matter Theory , Strongly Correlated Materials , Superfluidity and superconductivity
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Spectroscopy; Electronic Structure; Ultrafast Dynamics , Condensed Matter Theory , condensed matter theory, theoretical physics, quantum photonic theory, AMO theory Appl Deadline: 2026/02/21 04:59 AM
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Science Programs, and MS in Computer and Information Science (https://cse.aua.am/ ) invite applications for a full-time faculty position in Machine Learning at the rank of Assistant Professor, starting in