67 finite-element-analysis Fellowship positions at Harvard University in Ireland-University-Ranking-2024
Sort by
Refine Your Search
-
on understanding the earliest stages of high-grade serous ovarian cancer (HGSOC) by integrating spatial multi-omic profiling with computational analysis to define how precancerous lesions evolve into invasive
-
for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
-
of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
-
an independent research project that extends and complements the work of the lab; write and submit proposals to fund the research; secure and maintain IRB and regulatory approvals; conduct analysis, publish
-
per year (ideally in the fall term), to participate in a fellowship program conference each spring, and an organized faculty mentorship component. Residency at the Warren Center for the term
-
Engineering at Harvard University seeks outstanding postdoctoral applicants with expertise in non-human primate immunology and virology or analysis of spatial omics data to join an interdisciplinary team
-
, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will
-
particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are required. The successful applicant is expected to be stationed at CERN
-
working with large or complex datasets Interest or experience in regulatory science, pharmaceutical or health policy, clinical evidence evaluation, or the analysis of regulatory and clinical documents
-
are seeking a postdoctoral fellow with a background in occupational health and well-being, with strong experience in quantitative research, data management, data analysis, and writing for publications