216 parallel-and-distributed-computing-phd Fellowship positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Candidate must hold a PhD in Cell biology or Neuroscience or a related field or have completed all requirements for the PhD by the anticipated start date.. Additional Qualifications Ideal applicants will
-
to develop an innovative research program in sequential decision making. Our lab is involved in digital health studies in dental health, cardiac health, physical activity, mental illness and substance abuse
-
, the Irminger Sea, and the oceanography of the Southwest Greenland shelf as part of the Overturning in the Subpolar North Atlantic Program (OSNAP, www.o-snap.org ). The postdoc is expected to work with a variety
-
will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral
-
for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring
-
the areas of immunology, microbiome, and diet. Basic Qualifications Candidates should hold a PhD in the relevant areas or be nearing their PhD defense date. Additional Qualifications The position requires
-
phenotypes. The lab uses a variety of experimental (functional genomic, targeted genetic) and computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells
-
Expected Start Date: July – Sep 2025 Basic Qualifications A PhD in Bioengineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, and/or Neuroscience Extensive experience with
-
of developmental and/or regenerative neurobiology, neuronal cell biology, and/or nervous system disease involving the cerebral cortex to join an ongoing research program focusing on the developmental, degenerative
-
surveys; Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R