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-based, Bayesian or matrix factorization methods for multi-omics integration. Ability to independently perform data analysis and scientific interpretation based on omics data at an internationally
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at Stockholm University. We have a strong tradition in sampling but areas that we are growing in include, but are not limited to, Bayesian inference, the intersection of statistics and machine learning
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, or network-based, Bayesian or matrix factorization methods for multi-omics integration Ability to independently perform data analysis and scientific interpretation based on omics data at an internationally
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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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in carrying out concrete AI projects. Your role is to educate yourself with the target application to then provide help and guide researchers in aspects related to AI. These include tasks such as
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emerging anti-cancer therapies, particularly towards targeted immunotherapies. The bioinformatician is also expected to develop tools to facilitate the translation of the work into new clinical initiatives
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emerging anti-cancer therapies, particularly towards targeted immunotherapies. The bioinformatician is also expected to develop tools to facilitate the translation of the work into new clinical initiatives
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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
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related to sustainable forestry. The department has targeted expertise in issues related to the Southern Swedish landscape. Research areas include forest management, ecology, pathology, policy and planning
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Associate Senior Lecturer/Assistant Professor* in silviculture with a focus on silvicultural systems
related to sustainable forestry. The department has targeted expertise in issues related to the Southern Swedish landscape. Research areas include forest management, ecology, pathology, policy and planning