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to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and
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The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping
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. They involve high-stakes decisions with important trade-offs and uncertainties. They are also challenged by the data sampling process which gives rise to distribution shifts when comparing past and future data
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position The position provides you with the opportunity to pursue PhD studies in Computing Science for four years, with the goal of achieving the degree of Doctor in Computing Science. While the position is
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cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning
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Description: Broadleafification, i.e. the process of increasing the share of broadleaf tree species within conifer-dominated forests, is a promising strategy for biodiversity conservation in managed (hemi
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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data
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, microbiology and animal welfare. See: https://liu.se/en/organisation/liu/ifm/biolo The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the
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in Computing Science for four years, with the goal of achieving the degree of Doctor of Philosophy in Computing Science. While the position is mainly devoted to PhD studies (at least 80% of the time
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, administrative law, international environmental law, private international law, comparative law, constitutional law, environmental law, human rights, public law, civil and criminal procedure, law and economics