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field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field
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, enabling interactive communication with biology. Profile PhD in materials science, microengineering, or bioengineering; Experience with polymer characterisation and ultrasonics is required; More than 2 peer
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We welcome applicants with a PhD in neuroscience, cancer biology, cell biology, molecular biology, bioengineering, or a related field, together with excellent written and spoken English skills. We
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data modalities. AI for scientific discovery: methodological advances with potential applications across biomedical and scientific domains. We are looking for candidates with A PhD in machine learning
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presentations at lab meetings and conferences Contribute to scientific publications as well as to patents Qualifications PhD in neuroscience, neuroengineering, or related field Relevant experience in preclinical