-
involve: Genomics & Bioinformatics: Programming, genome assembly, annotation, and phylogenomics. Cellular & Molecular Biology: Single-cell isolation, scRNA-seq, or multi-omics. Experimental Science
-
-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
-
Responsibilities The incoming postdoctoral researcher will lead or contribute to key research activities within the LU-PCG, advancing control theory, machine learning algorithms, and integrated simulation workflows
-
. Participate in departmental seminars, workshops, and other events to engage with the academic community. Qualifications: Doctoral degree (or near completion) in cell biology, molecular biology, genetics
-
infrastructure security Familiarity with data center systems (UPS, rectifiers, workload-energy coupling) Experience with real-time simulation or HIL platforms (OPAL-RT, RTDS, PSCAD, etc.) Strong interdisciplinary