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responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with
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The Faculty of Veterinary Medicine invites applications for the following position: ASSISTANT PROFESSOR / ASSOCIATE PROFESSOR / PROFESSOR OF VETERINARY DIAGNOSTIC IMAGING (in Finnish
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processing of brain tissue microstructures within such image volumes. The scientific responsibilities of the new doctoral researcher lie within this domain. As our new Doctoral Researcher or Project Researcher
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biogeography, with a strong emphasis on computational data analysis. Alternatively, the candidate may hold a master’s degree in statistics, machine learning or related field, accompanied by prior experience
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, machine learning, time-series analysis, causal inference) Previous work experience with sensitive personal data Previous experience in pharmaceutical, medical technology, or hospital domain Experience with
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cytometry, cell biology, metabolic assays, imaging and next generation sequencing to understand the molecular mechanisms involved in the regulation of immune cell function. The researcher (position 1) will
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, normalization, dimensionality reduction) to downstream interpretation (differential expression, gene set enrichment, and cell type annotation). Implement Machine Learning Approaches, including deep learning
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of processes and properties distinctive to living organisms and systems. Successful candidates should have a strong background, for example, in molecular and cellular biophysics, biophotonics, non-equilibrium
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conditions (around 0.1 au from the Sun). By combining high-resolution remote sensing data (especially EUV spectral imaging) with advanced simulations, RIB-Wind seeks to more accurately characterize the solar
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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