16 image-processing-and-machine-learning Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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, including how DNAme potentially drives trait variation and how it responds to the environment. We will use machine learning tools to perform high-throughput phenotyping of birch leaves – specifically stomatal
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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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to the editing of the resulting volume. Teach or co-teach (up to 10% of annual workload). Contribute actively to the project and the host institution’s research community. Eligibility and assessment Applicants
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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the appointment, or must apply for the right and obtain it within the six-month probationary period. See: www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell. (B) Postdoctoral
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/doctoral-education/the-application-process-in-a-nutshell. (B) Postdoctoral researcher. Applicants must hold a doctoral degree in sociology or another field relevant to the research topic (e.g. studies
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the readings in the Masoretic text and the Septuagint. Sharing and processing the textual data on an electronic platform. Publishing their analytical findings on the text(s) they study in first-rate journals
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climate policy. It performs multiscale research from molecular to global scale and focuses on climate change, air quality, biogeochemical cycles and ecosystem processes. INAR has INAR Finland Network