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results across different data types and projects, and uncover biological patterns and insights. Strong collaboration and communication across the computational and experimental sides of the lab will be
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work closely with researchers from different disciplines, providing expert support in the processing, quantitative analysis and interpretation of images obtained using advanced optical microscopy
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral position in microfluidic RNAseq-based screening for optimal T-cell expansion
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, bioinformatics, medicine, pharmacy, medical science, or a related discipline. You should have a strong interest in research and science, particularly in cancer biology and biomedical research addressing important
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international Aligning Science Across Parkinson's (ASAP) grants that connect clinicians, researchers and collaborators across the globe. This is a rare opportunity to apply your bioinformatics and data science
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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international Aligning Science Across Parkinson's (ASAP) grants that connect clinicians, researchers and collaborators across the globe. This is a rare opportunity to apply your bioinformatics and data science
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of the top 35 most international universities in the world. We have a truly global community, with more than 30,000 students from 170 different countries and over 9,000 staff of 100 different nationalities
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laboratory work, bioinformatic processing of Next Generation Sequencing data, and population genomic analyses, including demographic inference. The purpose of the fellowship is research training leading
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome