Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle
-
Computer Science and related topics. The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees
-
research resource for the department, ensuring reliable study execution and operational support for faculty research. In parallel, the postdoc will advance their own research program and collaborate with
-
thick and strongly scattering samples. Experience in high-performance computing, parallel programming, or GPU-accelerated computation for large-scale 3D reconstruction. Experience applying machine
-
. These investigations will be supported by a program of scientific activities, including a monthly seminar that foster comparative perspectives across different societies and cultural areas. Through the study of ancient
-
Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials
-
environmental and geological gradients. The successful postdoc will integrate the scientific community of the Nutribor project. Briefly, the Nutribor project consists of different workpackages. 1/in-situ
-
chemistry that are both chemically and geochemically plausible. The PhD student will join a vibrant and growing team at the University of Copenhagen and will be involved in close collaboration with postdocs