Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date ● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image
-
. The work will be carried out in the Archaea group, Section for Microbiology, Department of Biology with collaborations for Cryo-EM & correlative imaging (EMBION) at iNANO & the Department of Molecular
-
19 Dec 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
-
language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
-
biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology, Molecular Biophysics, Molecular Evolution, Molecular Systems Biology and Structural Biology. The scientific
-
of automated or precision-guided systems. Background or good understanding of the concepts of Concentrated Solar optics Experience on engineering design using Computer Aided Design (CAD) and/or Computer Aided
-
mechanism of action. Develop and optimize workflows for sample preparation, grid screening, and high-throughput image acquisition. Collaborate with computational and molecular biology teams to link structural
-
well as access to sequencing facilities, high-end computer clusters, and an imaging and electron microscopy core facility. Research in our group covers diverse invertebrate lineages, with particular strengths in
-
to the subject area. The candidate’s doctoral degree should be primarily focused on computed tomography, image analysis or similar. Essential criteria are: Demonstrated experience in programming (e.g., Python, MATLAB
-
demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model