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equality, diversity and inclusion in all our activities, processes and culture. We encourage applications from all sections of society. The LMB particularly welcomes women, minority ethnic and disabled
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capacity to engage in interdisciplinary scientific discussions (with biologists, biophysicists, computer scientists, etc.). Applicants must hold a Ph.D. degree and hands-on experience in cell/tissue culture
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. Expertise is required in the specific area of Alzheimer's Disease and related dementia, genome-wide association study data processing and analysis, and whole genome/exome sequencing. Applicants must have a
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on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting academic will not be told
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are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats
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are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats
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of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting
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any specific questions about the position, kindly contact Prof. Dr. Marco Thines at marco.thines(at)senckenberg.de For data protection information on the processing of personal data as part of
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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processes. • Adoption of digital technologies, sustainability, and circular business models. KEY RESPONSIBILITIES Lead and conduct innovative, high-impact research within one of FEC’s core research areas