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Computer Science or related quantitative discipline, with ten (10) years of relevant professional experience, or MS in the same with eight (8) years of relevant professional experience, or PhD in the same with five
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Computer Science or related quantitative discipline, with eight (8) years of relevant professional experience, or MS in the same with five (5) years of relevant professional experience, or PhD in the same with two
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/Qualifications Eligibility requirements: medical diploma, the right to practice the profession of a doctor, scientific degree of doctor of medical sciences, specialization in radiology and imaging diagnostics
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 29 days ago
1 Sep 2026 Job Information Organisation/Company Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg Research Field Medical sciences Researcher Profile First Stage
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passionate learners to join our team. Candidates should have a background in molecular biology and/or informatics and be fluent in English (written & oral). Experience in handling genetic data, proficiency in
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: [email protected].
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relationship with the economic and industrial sectors. The Mechanical Engineering Department (DMEC) provides a full education in the field of advanced manufacturing processes and smart manufacturing systems
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indicators relevant to the operation of intelligent buildings. A central research challenge will be developing an energy-efficient embedded sensing platform that operates within the computational constraints
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investigate new insights across disciplines, including sociology, political science, computational social science, and data science; You will contribute to the theoretical development of the concept
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linked to its research areas ranging across Chemical Biology, Biosensing, Biomaterials, Biomechanics, Tissue Engineering, Computational Biology, Biomedical Imaging and Modelling, with 800+ students and 200