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Responsibilities: Develop chemical and biochemical assays and analyses, conduct comprehensive laboratory experiments, data analysis and reporting. Design, develop, and test microfluidic devices for miniaturised
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center currently employs 2,700 faculty, cares for ~48,000 inpatients per year and provides approximately 2.3 million clinic visits and 54,000 surgeries per year. Data for research is extracted from our
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work as part of a larger team to assist with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large part of
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the use of modern machine‑learning methods within applied mathematics—particularly physics‑informed learning, anomaly detection, data‑driven modelling, and the construction of surrogate models grounded in
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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, reasons for your interest in the position, and long-term goals, (ii) a curriculum vitae, (iii) names and contact information for three individuals who will serve as references (the deadline for reference
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at prestigious international conferences. The PhD project is part of 15 GRAIL PhD projects Europe-wide out of which 2 will take place at the University of Bergen. More information about GRAIL can be found
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information about GRAIL can be found at grail.physik.tu-dortmund.de. The successful candidate will benefit from extensive interaction opportunities with several groups within the Horizon Europe GRAIL network
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campaign and the subsequent data exploitation is expected. We expect the findings to appear in top-tier peer-reviewed journals and to be presented at prestigious international conferences. The successful
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the mechanisms contributing to sporadic ALS progression, helping to pave the way for novel therapeutic strategies. They will collaborate closely with data scientists and experimental colleagues to ensure thorough