Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
images contain rich information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and
-
methods to compare the genetic architecture of rare vs. common genetic variation 2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies 3. Developing methods to
-
. Norbert Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc
-
the SMaHT Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ ONT Whole Genome Sequencing ( WGS ), RNA -Seq). The ideal candidate will have a deep understanding of next
-
analysis pipelines for processing RNA -seq, single-cell RNA -seq, genomics, and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are
-
Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
-
field linked to social medicine or global health (e.g., anthropology, history, sociology, economics, ecology, epidemiology, implementation science, bioethics) Priority consideration will be assigned to
-
approaches to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing
-
Details Title Onnela Lab Postdoctoral Research Fellow Position in Digital Phenotyping / Smartphone Data Research School Harvard T.H. Chan School of Public Health Department/Area Biostatistics
-
Details Title Onnela Lab Postdoctoral Research Fellow Position in Digital Phenotyping / Smartphone Data Research School Harvard T.H. Chan School of Public Health Department/Area Biostatistics