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focuses on combining novel genome engineering tools (e.g., CRISPR-based) and computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher
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to a solid research program with clear project goals and strong support for career development. Key Research Techniques & Models: Mouse models: Knockout, conditional knockout, transgenic, and patient
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, user-friendly software tools for the community. Publish results in top peer-reviewed journals and conferences. Qualifications Required: Ph.D. (obtained or expected) in a quantitative discipline: Computer Science
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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at scientific conferences. Mentor graduate students and contribute to the overall growth of the laboratory. Qualifications: Ph.D. in Biomedical Engineering, Computer Science, Neuroscience, or a related field
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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degree in Materials Science, Mechanical Engineering, Electrical Engineering or related field from a top university. Strong experimental background with documented achievements (publications, patents
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desirable. Basic computational analysis skills (e.g., R or Python for sequencing data) are a plus but not required. Candidates must be team-oriented, organized, and enthusiastic about collaborative science
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following