21 engineering-image-processing Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
Sort by
Refine Your Search
-
The Faculty of Social Sciences at the University of Helsinki invites applications for the position of POSTDOCTORAL RESEARCHER ON Aquatic Science and Technology Studies and More-than-human relations
-
/researchgroups/nuclear-organization-by-actin) . We are seeking a motivated researcher to join our team in the field of cell and molecular biology. By combining advanced imaging techniques with functional genomics
-
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
-
morphology imaging, and spatial transcriptomics—to identify altered cell states and mis-patterning events. The aim is to integrate computational and experimental approaches, including validation in vivo
-
for independent creative thinking Skills in computer programming and experience with Linux and possibly machine learning The appointee should either already have the right to pursue a doctoral degree at the
-
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
-
breeding procedures for testing hypotheses arising from the analyses. Are you a technology wizard, determined to apply your skills in something that really matters? Or, alternatively, you have a solid
-
approach that includes advanced bioimaging and image analysis, cell biology and genetics, and omics technologies. Qualifications We invite applications from candidates with a background in cell and
-
natural language processing techniques to analyze digital content such as images, videos, and textual content that relate to human-nature relationships, with a focus on data derived from digital platforms
-
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