34 phd-scholarship-for-solid-mehanical-engineering-in-image-processing Postdoctoral positions in Finland
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PhD thesis Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria For the Doctoral Researcher’s position, the appointee is expected to have
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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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information, visit the lab web pages: See also our recent publication: DOI: 10.1038/s41467-024-54445-1 Your qualifications We are looking for ambitious researchers with a PhD, a solid publication record, and
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studies and research work leading to a completed PhD thesis Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria For the Doctoral
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with a PhD / MSc, a solid publication record, and strong background in wet lab work within the field of immunology. Primary human B cell culture skills, gene editing with crispr-cas9 along with human
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. Should you have any questions, need assistance or adjustments during the recruitment process, please contact phd-positions@helsinki.fi – we’re here to support you. A diverse and equitable study and work
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that currently suffer from observation gaps. By filling the observation gaps, we obtain a database essential to disentangle source and transport processes of SEPs and shed light on the underlying SEP acceleration
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menu at the top of the page to see detailed instructions. Should you have any questions, need assistance or adjustments during the recruitment process, please contact phd-positions@helsinki.fi – we’re
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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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include one or more of the following: Characterization and gene editing of cancer organoid cultures Use of genetically engineered mouse models to understand microbial adaptations Analyzing the cancer