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knowledge of relevant machine learning and AI techniques Proven scientific excellence as evidenced by strong scientific publications and track record relative to career stage Strong programming skills (Python
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of pathophysiological phenotypes, decentralised examinations, and reduced operator dependence. 2) Diagnostics of skeletal muscle diseases In a parallel research track, non‑invasive ultrasound‑based methods are developed
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psychophysical approaches (including advanced eye tracking and motion capture), and intracranial electrophysiological (EEG) recordings in neurosurgical patients. We offer an engaging and international research
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degree, obtained within the last three years before the application deadline. Programming skills in Python and data analysis. Track record of scientific publications in international peer-reviewed journals
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degree, obtained within the last three years before the application deadline. Programming skills in Python and data analysis. Track record of scientific publications in international peer-reviewed journals
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, molecular biology, infection biology or a related field. Experience with virology methods, preferably with a track-record in RNA viruses Experience with cryogenic electron tomography (cryo-ET) Experience with
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to the interdisciplinary nature of the work, the candidate is expected to have excellent collaboration skills. A promising track record of early achievements such as scientific publications. Significant experience with
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to the interdisciplinary nature of the work, the candidate is expected to have excellent collaboration skills. A promising track record of early achievements such as scientific publications. Significant experience with
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is made. Evidence of a strong research track record, demonstrated through high-quality publications. Experience in the analysis of observational astronomical data. Preferred qualifications A doctoral
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. Two tracks to align with your goals: Choose between the academic or the entrepreneurial path. Global Collaboration: Opportunities for secondments at 29 renowned research institutions, infrastructures