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22nd March 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Modelling Snow Processes in Mountainous Regions Apply for this job See advertisement UiB - Knowledge
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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. These complementary structural MS approaches allow us to capture assemblies in their native states, quantify dynamic changes, and generate high‑resolution insights into protein organisation and function. The Leney
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has its roots in gas-phase reaction dynamics and spectroscopy. Meanwhile, its research has been extended to other applications, e.g. the structure determination of carbohydrates. Applicants should hold
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ecology component of the pelagic work package. The role focuses on understanding the structure, stability and climate resilience of pelagic and mesopelagic food webs, particularly prey fields associated
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development to have real-world impact and contribute to a dynamic and enthusiastic research team. As a Quantitative Research Fellow, you will: Lead and support the design, programming and implementation
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Innsbruck IQOQIIBK | Austria | about 1 month ago
master students and supporting supervision of PhD students · Representation of the group and of the latest scientific results at international conferences and workshops · Supporting the group
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to promoting equality for women in science and engineering. Our Faculty offers exceptional research facilities in fluid dynamics, structures, and their interactions. This includes a world-class fluid dynamics
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structures for efficient CO2-capture and storage. The postdoc will use atomistic modelling with both force field and ab initio methods to study various systems of surface adsorbed aromatic macrocycles or also
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dynamical structure directly from time-series data. This includes methodological work on nonlinear state-space reconstruction, system identification, reservoir computing and related recurrent architectures