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and associated with biological processes such as the circadian rhythm. The aim of the project is to understand at a molecular level the impact of these modifications on the structure and dynamics
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surface-chemistry trends across selected metals and their oxides. These data will support the construction of a machine-learning force field tailored to NHC–surface systems, enabling large-scale molecular
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plant plugs, installing nest boxes, and spreading pea gravel to enhance habitat over existing concrete structures. Coordinating the removal of marine debris from the island. Coordinating boat trips
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Abilities: *Experience with data collection, e.g. surveys, in-depth interviewing, semi-structured interviewing *Familiarity with people search engines and databases *Knowledge of health disparities Essential
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polymerization and electropolymerization. The structures will be confirmed, for example, by 1H and 13C NMR titration, FTIR, mass spectrometry, UV-vis and fluorescence spectroscopy, electrochemistry, size exclusion
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provides experience in experimental methods and exposure to industry workflows supporting preclinical therapeutic development. 📄 Full Call & Requirements: https://drive.google.com/file/d
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structure. This position will design and implement experimental methods and technology that integrate parahydrogen induced polarization to achieve these goals. Opportunities to Contribute Design and execute
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also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed
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to participate both in the activities of the Center for integrative neuroplasticity (CINPLA) and in the INTED center. This PhD project will focus on reinforcement learning methods for generating complex structures
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, experimentation and modelling. The research aeras are structured through 4 main unifying themes: Interiors of the Earth and Planets, Natural Hazards, Earth System and Origins. The IPGP is in charge of labelled