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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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. As part of the cryoEM/ET center, the successful candidate will play a central role in enabling end-to-end cryo-ET workflows ranging from specimen preparation and cryo-FIB milling to cryo-TEM data
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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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subsequent animal health monitoring for intracranial tumors models. Evaluate and interpret collected data and prepare reports and analyses setting forth progress, adverse trends, and appropriate
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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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and recurrent rearrangements associated with the neurodevelopmental delay, including autism. More information can be found on the lab website . This role is an integral part of the lab and will be
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
technical autonomy. You will be responsible for engineering the core imaging data science infrastructure that powers our clinical and research missions. In addition to collaborating on high-impact AI research
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of Excellence for Data Driven Discovery. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm implementation, programming, and quality check. Assist
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domains, fostering the acquisition of horizontal skills around presentation & communication skills, scientific English, protocol development, data evaluation, and training in Nutrition. A close link to lab
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Faculty Positions in Genomics and Bioinformatics at the Institute for Genome Sciences, University of
biology, bioinformatics, biostatistics, bioengineering, computer science, mathematical biology, or a related discipline, with a strong background in analyzing and integrating tumor biology and clinical data