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.) experience with statistical methods (Bayesian statistics, machine learning etc.) We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an
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. This calibration step will be based on a Bayesian optimisation approach that needs to be refined for this purpose here. The calibrated module will then be used to estimate pan-tropical wetlands CH4 emissions over
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The Department of Statistics employs about 15 researchers, teachers, doctoral students, and other staff. We conduct research in several areas: analysis of high-dimensional data, Bayesian methods
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expertise in bioinformatics. The aim is to identify gene signatures predictive of therapy response and to discover novel therapeutic targets for reprogramming tumor-associated macrophages (TAMs)—immune cells
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the Department of Laboratory Medicine. We are now seeking a highly motivated project research assistant with expertise in tumor biology discover new therapeutic targets for reprogramming tumor-associated
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biopesticide development and targeted antimicrobial delivery. The team is interdisciplinary, with expertise in molecular microbiology, structural biology, bioinformatics, and protein engineering, and currently
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hyperspectral lidars for biological targets in marine, forest and aerospace environments. The goal of the project is to develop and demonstrate hyperspectral lidar applications to monitor biotargets such as
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with a clear focus on real-world deployment and performance, targeting constrained edge hardware such as the Xilinx RFSoC platform within the LISA 6G testbed. Work duties The main duties involved in a
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include teaching and other departmental duties (no more than 20%). You will focus on high-level design methodology for wireless communication systems used in XR-systems, with distributed MIMO as the target
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near the subthalamic nucleus (an important target region for DBS in Parkinson's disease, among other things) and behavior relevant to reward, aversion, and motivation. As a workplace, we value a good