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using qPCR. Develop AI-driven bioinformatics pipeline and analyze multi-omics data. Perform soil sampling and experiment design. Measure soil properties—soil pH, moisture content, Inorganic N, etc. Soil
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Position Qualification Position Summary Develop protocols for iPSC culture, characterize ALS patient-derived induced pluripotent stem cells (iPSCs), and develop highly phenotypic assays for compound
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"Engineering Nanoscience" at LTH. This position is part of a research group consisting of three doctoral students with individual projects where collaboration leads to good group development. Subject description
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Village in Lund and is part of CREATE Health and Lund University's Cancer Center . The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical studies
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analysis, model development, and signal processing techniques for seabed characterization. The position is budgeted for an initial two-year period and may transition to a full-time Research Scientist
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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Chemistry to conduct fundamental and applied research at the intersection of machine learning and computational chemistry. In this role, you will develop physics-informed, symmetry-aware models
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on the development of superconducting interconnects, which are essential for ensuring the thermomagnetic isolation of quantum devices in addition to ensuring the electrical continuity of the device. The proposed
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. Participates in experiment design and evaluation; executes experiments; performs data analysis; reports to principal investigator (PI); Develops new methods for research; develops and details understanding
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their wild relatives over thousands of years. In this project, you will develop and apply computational omics approaches to uncover the molecular mechanisms underlying ancient plant–microbiome