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Methods for Sustainable Multisectoral Utilization of the Baltic Sea Waterways" Your role and goals Finland relies heavily on maritime transports, with over 90% of its trade transported by sea. Marine
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offered a fully funded contract of up to 3 years. About the position The postdoctoral research position will require developing and applying cutting-edge machine learning methods to computer vision and
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group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational methods to understand the regulatory mechanisms
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expected to: Develop and apply quantitative methods specifically tailored to the goals of the BIOBANG project. Establish and maintain code and data repositories to ensure efficient workflow and collaboration
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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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methods to understand the regulatory mechanisms driving cancer heterogeneity and progression by integrating genomic data into genome-wide regulatory networks. Current projects include (i) modeling distal
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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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their impact on gene function and structure using a range of sequence analysis and comparative genomic methods. The projects will also involve programming for data collection and analysis. As a
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well as cutting-edge systems biology methods, such as CRISPRi and nascent transcriptomics methods. The training could be furthered by research visits within our collaboration network of well-regarded laboratories
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creative Data Scientist with a very solid foundation in mathematical sciences and statistics to develop longitudinal methods for causal inference in life-course epidemiology. As a postdoctoral researcher you