Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
, scoring functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience
-
. At the heart of our program is the GLICO (Glioma-in-a-Cerebral-Organoid)platform, a system we pioneered where patient-derived glioma stem cells are grown within human cerebral organoids. This high-fidelity model
-
recruiting highly motivated postdoctoral researchers. Our lab is performing high profile research in studying the molecular mechanisms that control programmed cell death and its impacts on inflammation
-
program at the interface of drug delivery, biomaterials, and cancer biology. The successful candidate will play a key role in developing next-generation therapeutic platforms, including lipid nanoparticles
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
to update our scientific conceptual models. The data foundation will come from the long-term lake monitoring initiative LTER-DK, which includes several Danish lakes equipped with real-time and high-frequency
-
detection methods Background in public outreach or science communication Familiarity with high-performance computing environments Proficiency in Danish and/or German Who we are The Department of Ecoscience is
-
benchmark performance against state of the art solutions and project KPIs Disseminate results through high impact journal and conference publications, demonstrations, and (where appropriate) patent filings
-
academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
-
that facilitate the understanding of spatial profiling in clinical samples. You will work with datasets from our Xenium High-plex Single-cell Spatial Profiling (HSSP) from 10x Genomics and GeoMx Digital Spatial
-
data. Together with the Artificial Intelligence and Cancer Evolution Division at the German Cancer Research Centre DKFZ, led by Moritz Gerstung, we have recently established a systematic spatial