17 engineering-image-processing-phd-"https:" Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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& computational analysis (choose a combination) Single-cell RNA-seq analysis (e.g., Seurat/Scanpy, QC, integration/batch correction, clustering, annotation) Multimodal integration and/or feature engineering
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ideally before May 2026. The project studies how generational change in family-owned agricultural firms affects productivity, firm survival, investment behavior, and technology adoption. The analyses focus
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-owned agricultural firms affects productivity, firm survival, investment behavior, and technology adoption. The analyses focus on capital and land constraints, ownership transfer mechanisms, inheritance
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funding. The start date is 1 September 2026. The appointee is expected to reside in the Helsinki Metropolitan Area during the employment. QUALIFICATIONS AND EVALUATION Applicants are required to hold a PhD
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for your next career stage. Your profile Recent PhD in Cell Biology, Neuroscience, Biochemistry or a related discipline. A strong academic track record, and at least one recent first-author publication
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The position requires: A doctoral degree relevant to the project (e.g., biology, genomics, evolutionary biology) Less than seven years since obtaining the PhD Ability to conduct independent scholarly work Strong
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facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical
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from molecular to global scale and focuses on climate change, air quality, biogeochemical cycles and ecosystem processes. INAR has INAR Finland Network partners in Finnish Meteorological Institute
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quality, biogeochemical cycles and ecosystem processes. INAR has INAR Finland Network partners in Finnish Meteorological Institute, University of Eastern Finland and Tampere University of Technology
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the candidate's background and interests, ensuring a collaborative and engaging research experience. We seek candidates who have completed a PhD in ecological statistics or environmental economics or a related