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the SelSiCELL project which aims to make high performance solar cells based on selenium (c-Se) as the photoabsorber, and to make tandem solar cells based on the c-Se/c-Si architecture. The project is mostly
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September 15, 2025, or as soon as possible thereafter. The position is available for a period of 2 years. In electronic engineering, Aalborg University is known worldwide for its high academic quality and
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, postdocs, and PhD students working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both
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are looking for a candidate with a high degree of independence and a strong drive for scientific excellence. The position provides excellent opportunities for professional development and training towards
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. Your qualifications Need to have: A PhD in molecular biology, medicine, or a related discipline Hands-on expertise with cell culture and molecular biology techniques (e.g., RNAseq) High motivation
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structural transformations in the 21st century – the rising inequality and climate change. It poses the following research question: Under what conditions can business be powerful in the high-salience politics
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be considered an advantage if applicants can document A track record of research publications of a high international standard commensurate with the length of the applicant’s academic career Experience
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take part in EU-project meetings, activities in relation to our new educations, and that you will report research results in high-impact scientific journals. Your profile We are searching for a highly
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of the probability and analysis groups. Projects may include, but are not limited to: Analysis on metric spaces including fractals Heat kernel estimates and functional inequalities Rough paths, stochastic differential
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underwater frames and instrumentation, including sensor testing and calibration Quantifying benthic biogeochemical fluxes and momentum fluxes in situ from high-density datasets (e.g. using eddy covariance