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are ambitious, goal-oriented, collegial and motivated to tackle challenging new projects • Have PhD degree in (or in final stages to submit) in protein biochemistry/molecular biology/molecular
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are ambitious, goal-oriented, collegial and motivated to tackle challenging new projects • Have PhD degree in (or in final stages to submit) in protein biochemistry/molecular biology/molecular
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, expertise and/or qualifications • PhD degree in computational biology, bioinformatics, biostatistics, computer science, or a related field • Strong publication record • Proficiency in programming
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with state-of-the-art structural biology techniques. The group benefits from in-house availability of a 200-kV Talos Artica microscope, complemented by access to 300-kV cryo-electron microscopes for data
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journal articles as a foundation for a PhD thesis co-authoring and/or editing academic work with the project PI and collaborators research within law, political sciences, and other relevant disciplines
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candidate to have a PhD degree from a relevant field with skills and experience in image analysis and machine learning. Familiarity with the volumetric microscopy image data and statistical methods
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expect a successful candidate to have a PhD degree from a relevant field with skills and experience in computational genomics and machine learning. Familiarity with the above-mentioned data types is an
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co-authoring and/or editing academic work with the project PI and collaborators research within law, political sciences, and other relevant disciplines organizing and participating in international
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Institute for Life Sciences. We have previously discovered how cellular metabolism changes during colon cancer initiation and progression (Najumudeen, Nature Genetics, 2021) and combining multi-omics
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to join our team. The candidate should hold a PhD degree in computer/data science, computational biology, or related fields. Experience in working with biological applications are considered highly