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Embryogenesis, funded by UiO's interdisciplinary strategic initiative UiO:Life Science. GENESIS brings together active matter physics, cell biology, and computational biology to address the fundamental processes
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relevant ecological processes and address uncertainties, as well as relevant interdisciplinary orientation and coordination skills. Required qualifications: • PhD in ecology, biogeography or related field
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together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo development. The project will combine experimental
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Qualification requirements PhD or equivalent academic qualifications with a specialization in computational musicology, computer/data science, informatics, sound and music computing, or other related field
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research project Expertise in machine learning Additional expertise in one or more of the following: digital signal processing, statistics, multimodal processing, FAIR data management, music theory
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approved. Desired qualifications and competencies PhD thesis relevant to the proposed research project Expertise in machine learning Additional expertise in one or more of the following: digital signal
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. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and account for uncertainty in ways that are relevant to real
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(1-2 pages). Please describe your motivation for applying for a PhD/postdoctoral fellowship and explain how your background, research, and experience are relevant to the main research project. Indicate
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practices. MishMash researchers will investigate AI’s impact on creative processes, develop innovative CoCreative AI systems and educational strategies, and address AI’s ethical, cultural, legal, and societal
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one or more of the following: data curation, digital signal processing, music information retrieval, audio source-separation, audio analysis, statistical modeling, machine learning, and advanced