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, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed to building a safe and positive
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at the Centre for Theology and Religious Studies (CTR) and includes a collaboration with the Humanities Lab at Lund University (HumLab ) and the Digital Archaeology Lab (DARKLab ) at the Department of Archaeology
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to the research environment at CTR, as well as to seminars and research activities at the other two centres associated with this position. Your work will be carried out in close collaboration with the RELI-GENE
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successful and well-funded research group, and will be surrounded by senior and junior researchers. Our research group collaborates with other groups at the department and prominent research groups around the
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members of the research group. Publish scientific articles, both independently and in collaboration with others. Teach up to 20% of your working hours. Qualifications Requirements for the position
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data using multivariate statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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regular project meetings and collaborate closely with other members of the research group. Publish scientific articles, both independently and in collaboration with others. Teach up to 20% of your working
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strategies. The position includes collaboration with housing associations, distribution system operators, electricity suppliers, and academic partners, as well as contributions to policy-relevant
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/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle delivery. The postdoc will join Professor Nathaniel R. Street’s team at UPSC, working closely with