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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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, regardless of their role, receive the resources, support, and encouragement to advance and grow their careers. The Clinical Research Associate I-RN operates under general supervision. Performs data abstraction
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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collaboration by proposing an original hybrid rule-driven/data driven approach to artificial intelligence and by studying efficient optimization algorithms. The team focus on robotic applications like environment
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in meetings, raises concerns, and shares information with the team. Able to draw insights from different sets of data and quickly understand why issues are happening. Solves problems quickly by
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and automation workflows (e.g. Kingfisher liquid handlers) Deep expertise in the generation and analysis of next-generation sequencing data An enthusiastic individual with a strong work ethic and a
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publications. For further information, please contact Prof. Dr. Anna Kornadt ( ) Your profile Ph.D. in psychology or a closely related discipline Strong interest in interdisciplinary research at the intersection
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of high-dimensional single-cell data, the lab aims to reconstruct accurate cell-lineage trees and use them as a scaffold to map genome-wide regulatory dynamics across development. The lab is highly
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and IPP as institutions. To ensure compliance with data protection regulations, applications should be submitted via our online system and include a cover letter, a resume, and a list of publications
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of complex diseases of all types. This data is now helping to power fundamental advancements in digital pathology, including the training of class-leading pathology foundation models and task-specific models