Sort by
Refine Your Search
-
Employer
-
Field
-
position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
interdisciplinary and to learn new skills and to perform research in collaboration with others. We seek candidates with the following qualifications: A doctoral degree in a Bioscience-related field awarded
-
, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially CRISPR screening, is highly meriting, as is experience with single-cell RNA sequencing or other omics assays
-
clinical and experimental datasets. You will join a collaborative environment and work closely with research groups specializing in microbiology (Avican Lab), machine learning (Erdem Lab), and network
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
-
the orientation of various types of nanoparticles within both thermoset and thermoplastic polymer matrices. This position entails close collaboration with industrial partners to implement the alignment technique
-
advanced wireless technology with innovative computing to shape the future of cloud computing in 6G communications systems. The department offers a collaborative and inclusive culture that promotes
-
postdoctoral position in data analysis, where you will apply machine learning techniques to understand how resistance genes spread and to help detect infections caused by resistant bacteria. The position is part
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing