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visualization. Application process: Applications should contain the following documents: Curriculum Vitae A letter (maximum 1 page) explaining the motivation for the position Contact information of 3 references
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contribute to patents or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and
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for interviews) will not be reimbursed by the state of Mecklenburg-Vorpommern. Please note that by submitting your application, you provide your consent pursuant to data protection law for our processing of your
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co supervision of PhD/MSc students working on related topics For further information, please contact: Dr. Jorge Querol (Jorge.Querol@uni.lu )
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at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In
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valorization and pilot process design is a strong asset. Proven publication record and project involvement. Additional Skills (Preferred): Experience with environmental data analysis (R, multivariate statistics
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in computer security. In particular the work will seek to deliver novel contributions that enable such systems to safely continue to operate even when they have been partially compromised and
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-Doc will process large meteorological and emission datasets, prepare input data for the models, and contribute to scientific publications. Requirements: PhD degree in physics/mathematics
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click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have
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. Supervise and support PhD students and junior researchers within the group, and contribute to the recruitment process together with the research group leader. Lead and coordinate project teams, collaborating