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- Universitat Autònoma de Barcelona
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methodologies will also be highly valued. We seek candidates with at least 3 years after their PhD, with a track record of research publications in high quality international academic journals and press, and with
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project – Social and environmental justice in 15-minute cities, in particular within the WP3 dedicated to the construction and evaluation of 15-minute city scenarios. The main objective is to analyze
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DESCRIPTION The Chromatin Biology Laboratory, led by Alex Vaquero, is internationally recognized for its expertise in studying cellular response mechanisms under stress conditions. The group's main objective is
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antiparasitic compound YAT2150 and its derivatives. The contract will be within the framework of one of the research lines of the Nanomalaria Group, whose objective is the development of highly sensitive methods
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periods of inactivity for medical reasons, maternity/paternity leaves, elderly care, or due to training or professional experience in other fields will be taken into account. b) Adequacy to the objectives
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, or due to training or professional experience in other fields will be taken into account. b) Adequacy to the objectives of the contract (maximum score 20 points) Adequacy of the candidate’s training and
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, or due to training or professional experience in other fields will be taken into account. b) Adequacy to the objectives of the contract (maximum score 30 points) Adequacy of the candidate’s training and
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/or the project Requirements: The candidates must have a PhD in chemistry We are looking for a candidate with a solid and proven track record in Organometallic chemistry, particularly in Ni-catalyzed
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have a strong track record of exploring quantum effects such as entanglement and squeezing in atomic vapors. The successful candidate will be expected to contribute to experimental progress in at least
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: Define and track metrics (MAE on Hamiltonian elements, band-structure error, DOS overlap, transport-relevant figures); compare against classical parameterisations. Uncertainty and active learning