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PhD project on non-financial conflicts of interests in research Department of Food and Resource Economics Faculty of Science University of Copenhagen The Department of Food and Resource Economics
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of these policies, from their design to their implementation. The thesis will focus on one or more configurations of transition public policies (for example in the fields of energy, biodiversity, food, water or land
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Job related to staff position within a Research Infrastructure? No Offer Description This PhD project investigates methods to improve the robustness and compliance of multi-modal AI systems
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
, biotechnology, and additive manufacturing. As a PhD student, you will investigate fungal-bacterial interactions, develop living bio-composites based on microbial biomineralization, design bio-based hydrogel
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). The position is linked to the research project: "Blocking Critical Events in West Nile Virus Replication through the Development of Innovative Antivirals Targeting Viral and Host Factors (NEXTGENAVIR)" (PID2025
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details https://www.cesam-la.pt/en/calls/research-grant-under-the-project-safercoat/ Work Location(s) Number of offers available1Company/InstituteCESAM - Centre for Environmental and Marine
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of the Polish Academy of Sciences at the Institute of Plant Genetics, PAS in Poznań Procedure no. 15/2026/IGR/PSD PhD CANDIDATE IN AN NCN OPUS 27 PROJECT Genetics, genomics and bioinformatics of flowering in
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the project on research papers, memos, bibliographic searches and assist with and attend a policy workshop to take place in DC. The workshop will require good administrative skills, willingness to deal with
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-on experimental expertise. Your immediate leader will be the Head of Discipline. About the project Modern embedded systems increasingly rely on cryptographic implementations and hardware-supported security
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archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and