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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 PhD student, you will screen
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(DGL) at the University of Helsinki. Selection criteria We are looking for a candidate with expertise in quantitative big data analysis and a strong interest in developing regional data analytics methods
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journals, and complete a doctoral degree. The following are considered advantageous: Experience in data analysis and visualization, particularly with statistical methods applied to omics datasets. An open
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(DGL) at the University of Helsinki. Selection criteria We are looking for a candidate with expertise in quantitative big data analysis and a strong interest in developing regional data analytics methods
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should hold a PhD degree in molecular biology, biochemistry, cancer biology or related fields. Expertise in biochemistry, transcriptomics, NGS data analysis and basic programming in R/Python is a pre
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(v) creating data tools for analysis and scientific requirements in the team. Be willing to work in an interdisciplinary team, carrying out research in conservation science that can help address
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enthusiastic doctoral researcher with: A master’s degree (or equivalent) in conservation science, ecology, geography, or other relevant fields. Previous experience with digital data analysis, modelling, machine
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in these diseases. The postdoctoral fellows will work on computational method development and data analysis for bulk and single-cell omics data from human patient samples. Individuals with a strong
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in laboratory/pilot environment and groundwater settings, model-based data analysis, presenting results in scientific conferences, and writing of scientific manuscripts, to which the doctoral thesis is
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theory in the analysis of Persian-era sources. The analysis of informal taxation and forced labor will be useful to both economists and sociologists via the most up to date ANE data and analyses, bridging