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. We require the candidate to have documented experience in either large-scale genomics data analysis with computational or approaches/biostatistics, or machine learning/deep learning. Experience with
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: Has a doctoral degree - the degree requirement must be met by the beginning of the employment Has a strong methodological background in agent-based modelling, systems dynamics, network analysis
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, including cutting-edge facilities for cryogenic electron microscopy (cryo-EM), light microscopy, sequencing, and proteomics. For more information, please visit https://www.helsinki.fi/hilife/bi . The position
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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect
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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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(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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(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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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions