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reflects your own voice and thoughts. Applications generated by artificial intelligence do not meet our expectations. Applications must be submitted through the University of Helsinki electronic recruitment
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performance in intelligent networked systems. The appointee is expected to make significant contributions to the research agenda of the SHIELD project. SHIELD investigates advanced methods for improving
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to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist for methods development in
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Queen Mary’s first University Research Institute dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). The role is jointly split
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Mary’s first University Research Institute dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). The role is jointly split with
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equivalent to a doctoral degree. Documented research experience in artificial intelligence (AI), machine learning and data science, with applications in industrial systems. Excellent written and verbal
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communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications A background
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital
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English. Advanced proficiency in office software tools (Excel, Word, PowerPoint, etc.). Desirable qualifications Experience in preclinical models of therapies targeting human cells, tumour cells
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Learning (SCSIL) is seeking a highly motivated Postdoctoral Researcher with training in computer science, artificial intelligence, biomedical engineering, or a closely related field to join an