Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
to address missingness in mass spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality
-
structural biology. Merits are: Experience from protein production and purification and/or Python code development. Consideration will also be given to collaborative skills, drive and independence, and how
-
of Medicine Work Assignments Manage and analyze population-wide data from Swedish national registries. Use advanced statistical methods (SCCS, survival analyses). Link and structure large datasets (ICD codes
-
measurements to the results of existing techniques using backscatter to quantify forest attributes through synthetic aperture radar imaging. The overall project, spanning multiple institutions, aims to produce a
-
clean-room facility Staining and advanced imaging techniques (e.g., confocal microscopy) Isolation of primary immune cells or culture of patient-derived cell components Antibody-based biochemical assays
-
-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats
-
of Information Technology website . The project will be led by Professor Carolina Wählby , within the Image Analysis unit of the department’s Vi3 division, working alongside researchers developing numerical and
-
will handle and analyse large amounts of data from brain imaging (MRI and PET), cognitive tests, blood-based biomarkers; and perform statistical analyses. The appointment aims at a PhD degree and the
-
at compile-time, as is often the case, then the problem is further complicated by the fact that no single mapping is optimal for all combinations of matrix sizes. As a consequence, any code generated
-
) classification and utilization based on advanced AI technologies, such as regenerative AI, image processing and reinforcement learning, that can improve the energy efficiency and reduce the operating cost and