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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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, cell culture, structural modelling and optogenetics Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-211/Candidater.aspx Requirements Research FieldNeurosciencesEducation
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structures, fun at work Full-time gross salary per month EUR 3,700.00 EUR Website for additional job details https://www.pro2future.at/phd-candidate-within-the-topic-ai-driven-software-ins… Work Location(s
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Ministry of Education, please visit our website: https://www.saskatchewan.ca/government/government-structure/ministries/education Preference will be given to qualified equity group members who self-declare
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
: 87057BR The UCSF Edward and Pearl Fein Memory and Aging Center (MAC) is a dynamic multidisciplinary clinical and translational research program investigating neurodegenerative diseases. Our research is
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publications see here: https://www.scilifelab.se/researchers/stefanos-stagkourakis/ Essential technical expertise (Required) This position is intended for candidates who can immediately operate at a high
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of priorities and maintain a structured workflow. You collaborate smoothly with colleagues, students, and industrial partners, and you communicate your results clearly as well as document your results in proper
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controls. Experience in working with Bacillus subtilis including cloning and strain construction, strong bioinformatics skills, and a proven track record of molecular and cell biology studies, preferably
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, electronic structure methods development, algorithm development, or finite-temperature field theories. Exposure to topics such as dynamical mean field theory, embedding theories, quantum Monte Carlo methods
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Investigate the use of causal discovery methods in "concept drift" situations in structural causal models. In semiparametric Bayesian networks, investigate the selection of covariance matrices and the