Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training
-
Nanomaterials that detect protein-structural changes Nano-optical devices for protein-signal sensing AI algorithms for protein structure and dynamics prediction Outstanding Postdoctoral Training Strategy
-
common childhood tumors, and despite remarkable advances in survival rates, they remain a leading cause of cancer death. The last decade has witnessed significant progress in understanding the genetic
-
Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
; a top-ranked scientific environment; and superb benefits, mentoring, and professional development. Positions are available in diverse research areas, including epidemiology, genetics, computational
-
. To this end, we apply interdisciplinary strategies by integrating immunological and genetic approaches with cutting-edge systems immunology and functional genomics tools, including in vivo CRISPR screening
-
computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher to contribute to our ambitious mission. Division The Division of Biomolecular and
-
health and disease, and experience in the algorithms used to analyze these datasets. The appointee will ultimately create an independent research effort with dedicated extramural funding that complements
-
Cancer Research Foundation ● Review more on The Sarat Chandarlapaty Lab Key Requirements: ● PhD in cancer biology, genetics, cell biology, or pharmacology. ● Track record of publication in areas of cancer
-
will have the opportunity to investigate innovative solutions using machine learning algorithms and predictive modelling techniques in the context of a collaborative project with Goodyear Luxembourg (one
-
data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand