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their preference in the cover letter. All applications will be reviewed in a joint selection process, taking into account the stated preferences of each candidate. The available positions are dedicated
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to enhance and control the caloric cooling performance. Relevant tasks may be a combination of: Synthesis and processing of functional oxides using solid-state methods and hydrothermal synthesis
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have or are open to, developing communication skills across various research disciplines You have the capacity to conduct empirical research and are resilient to cope with setbacks in the process You are
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, survey, or population data, particularly in the areas of health, mortality, life-course processes, or demographic change. Familiarity with advanced quantitative methods, such as causal inference techniques
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methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive
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and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and
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to take initiative Flexibility, ability to handle pressure and meet deadlines Enjoy the process of scientific communication and writing The candidate should be highly self-driven and able to take
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electricity system model development and upkeep using Git/Github. Experience with processing large spatial datasets. Familiarity with the European and Norwegian energy discussions as well as energy justice
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The University of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications. About the PhD position About the PhD Research Fellow
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Science Convergence Environment that brings together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo