22 systems-science-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Lund
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antibody technology and computational biology studies. Good communication skills. Good collaborative skills, initiative and the ability to solve work tasks independently Assessment criteria This is a career
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for Sustainability Science (LUCSUS). The project aims to identify the legal, policy, and knowledge-based frameworks that can empower Indigenous People and Local Communities (IPLCs) to adapt to climate stress in a way
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. 100–800 CE). This is achieved by using the latest generation of digital tools and techniques in archaeology. The project has aimed to develop a two-part research programme. The first part focuses
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Description of the Research Area The position is based at the Centre for Theology and Religious Studies . The postdoctoral researcher will also be affiliated with the Birgit Rausing Centre
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Description of the workplace Centre for Mathematical Sciences consists of approximately 150 teachers, researchers and doctoral students. Our team is actively involved in doctoral education and a
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of History at Lund University. The position is linked to ongoing research projects on digital exclusion – in collaboration with the Department of Arts and Cultural Sciences – and climate justice
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Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical studies. The main research areas include immuno-oncology
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, science grows. The group is part of the Division of Molecular Medicine and Gene Therapy , Faculty of Medicine, and benefits from access to cutting-edge core facilities and services, interdisciplinary
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, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep