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, United States of America [map ] Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview As a Quantitative Research Intern at Susquehanna, you will work
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, United States of America [map ] Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview As a Quantitative Systematic Trading Intern at Susquehanna, you will work
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related field Documented metagenomics experience Experience with writing and running data analysis scripts in a command-line interface Solid programming experience in Python Experience with scripting and
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. Therefore, you will be contributing to the development and refinement of a potential medical device that could become adopted into clinical practice, not just in the UK but globally. You will run the project
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Ref.: 532593 Work type: Full-time Department: Department of Obstetrics and Gynaecology, School of Clinical Medicine (20900) Categories: Senior Research Staff & Post-doctoral Fellow Senior Research
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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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upper second-class degree in Chemistry, Biochemistry, microbiology or a relevant natural sciences-related subject. Good analytical, problem-solving and MS Excel skills. Ability to work collaboratively and
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source projects Strong communication and interpersonal skills, with an ability to work with people of diverse backgrounds and across disciplinary conventions Familiarity with deception in design within
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to work in an international team, work with forefront methodologies, and contribute to the investigation of persistent, mobile and toxic substances in drinking water, then DTU and Norwegian University
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27th July 2025 Languages English English English PhD-position PhD-position at The Department of Biomedicine Apply for this job See advertisement UiB - Knowledge that shapes society Through robust