Sort by
Refine Your Search
-
annotating experimental findings from the literature— with advanced machine learning approaches to extend functional annotation of LCRs. • Apply clustering algorithms to group LCRs by similar annotation
-
the project is the development of AI-based pipelines for detecting, segmenting, and classifying lichen communities. Convolutional neural networks (e.g., U-Net, DeepLab) and machine-learning algorithms (e.g
-
of biological databases, algorithms and pipelines; experience in working with phylogenetic/ genomic/transcriptomic/systems biology tools will be a bonus; being well organized, eager to learn and ready to
-
are scheduled for 1st March 2026 (earliest starting date) but no later than 1st May 2026. If you have any questions, please send an e-mail to: lbartosik@cft.edu.pl Selection process Applications should be
-
Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | 2 months ago
SCHEDULE: From October 3 to November 4, 2025: submitting applications, November 17-21, 2025: interviews (on site/online). Additional comments WHERE YOU CAN FIND OUT MORE: Informal enquiries: k.ledwa