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, contribute to a better world. We look forward to receiving your application! We invite applications for a fully funded PhD student position to join the research group of Jan Glaubitz to work on Bayesian
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eDNA and Forest Biodiversity Monitoring (TRACE-AIR Project) Research subject Biology Description: The main objective of this PhD project is to use a globally unique and most extensive (1974 onwards
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: The main objective of this PhD project is to use a globally unique and most extensive (1974 onwards) airborne environmental DNA (air eDNA) dataset from Sweden, to test if the air-eDNA method can be used as
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, clinical research, or translational science. Workflows: Proven track record in developing and implementing workflows to analyze biological data (e.g., proteomics, genomics, transcriptomics or multi-omics
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. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
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Alice Wallenberg Foundation, with the objective of building globally competitive research environments at the interface of life science, data science, and artificial intelligence. The postdoctoral program
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medical applications. Federated Bayesian learning offers a solution to those problems by allowing multiple participants to train machine learning models collaboratively, without sharing any data. Bayesian
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public health. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in
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insights that inform biodiversity management. The project includes: · Apply of deep learning models to annotate bird and bat species from sound recordings. · Develop a Bayesian statistical
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orogenic stages, leading to eventual LCT pegmatite formation during late-stage orogenesis. The overall objective of this PhD project is to track the geochemical cycling and behaviour of lithium in