Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
-
computational approaches to uncover novel biomarkers and therapeutic strategies for CNS disorders. Key Responsibilities: Develop and implement algorithms for multimodal image fusion, combining data from MRI, PET
-
algorithms, NLP models, and LLMs to analyze complex data. Designs and implements novel data science methodologies for predictive modeling, causal inference, and probabilistic analysis in clinical and
-
Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding algorithms, or demonstrated ability and
-
Engineering nuclear envelope geometries to probe lipid chemistry-function relationships Romanauska & Köhler, Nature Cell Biol. 2023 What We Offer Two fully funded, full-time postdoctoral positions Possibility
-
. The most recent methodological research of the group includes algorithms for cell type deconvolution, high-resolution purification, and integration of single cell multi-omics data. This postdoctoral fellow
-
on the creation and application of predictive simulation models Collaboration on the development of data processing and fusion algorithms Collaboration on the virtual modeling of marine structures Conducting and
-
Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
-malignant blood diseases, such as sickle cell disease, bone marrow failure syndromes, and myeloproliferative disorders. This premier NHLBI-sponsored T32 training program leverages the exceptional research
-
Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in infectious disease therapeutics. This NIH sponsored training program has been designed to leverage the outstanding
-
think outside the box, to learn fast, collaborate effectively, iterate quickly, and work at the interface of both experimental and computational design. Qualifications for Computer Scientists, AI/ML: PhD