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Field
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preparation. Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling where required. Support aptamer discovery and validation experiments
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the following conditions: Scientific Area: Bioinformatics Recipient category: The open position is intended for candidates holding a master’s degree who, on the date of their hiring, prove their enrolment in one
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(and potentially proteomic) bioinformatics, small input RNA-seq, and high-level imaging, as well as research background in related studies. Junior applicants, such as recent Ph.D. graduates with 0 or 1
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of bioinformatics tools, analysis of high-throughput sequencing data, and an interest in the field of ancient DNA (please provide details in the motivation letter and curriculum vitae). Workplan and objectives to be
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computational biology, bioinformatics, biology, computer science, physics or related disciplines • Strong computational skills in at least one programming language (e.g. R or Python) • A strong publication record
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. National Institute on Aging and within the CHARGE Consortium. Qualifications We seek candidates with: A PhD in human genetics, bioinformatics, statistics, computational biology, or a related field Expertise
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these interactions. This track is particularly suited for candidates with a PhD in bioinformatics, structural biology, computational biology or a related field, and experience in computational structural biology
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findings in internal meetings and scientific publications Basic Qualifications PhD degree in neurobiology or a related field Prior experience with bioinformatic analyses, viral engineering, neuroanatomy
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at UniProt, SIB Swiss Institute of Bioinformatics, and Aalborg University. The project aims to unlock decades of scattered QTL knowledge from the plant genetics literature by combining AI-assisted expert
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Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic