Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Iowa State University
- Argonne
- Baylor College of Medicine
- Eindhoven University of Technology (TU/e)
- Heidelberg University
- Karolinska Institutet (KI)
- Rutgers University
- Technical University of Munich
- University College Dublin
- University of California
- University of Oxford
- University of Oxford;
- 3 more »
- « less
-
Field
-
biological systems, their development, and how disruptions in homeostasis contribute to pathological conditions. The position involves close collaboration with PhD students, postdoctoral researchers, and
-
the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
-
pangenomics and population diversity, with opportunities to contribute to similar analyses in other crop systems, including cotton. Required Minimum Qualifications: PhD in Plant Biology Experience conducting
-
help shape technologies with broad relevance to future quantum systems. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physics, electrical engineering
-
(OVG) as part of the Correlates of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven
-
interfaces. Plan controlled ablation studies and reproducible evaluations using scratch training across multiple seeds, exact train and validation metrics, parity and error analyses, gradient checks, and end
-
projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national
-
of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
-
in collaboration with wet-lab teams. Maintains thorough documentation of analyses, pipelines, and datasets in version-controlled environments. Collaborates with experimental biologists and clinicians
-
Jetzt online bewerben: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28347 PhD/Postdoc position in computational biology to elucidate NR2F1 dosage dependent