Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Baylor College of Medicine
- CNRS
- Chalmers University of Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Oklahoma
- University of Southern Denmark
- University of Washington
- Broad Institute of MIT and Harvard
- Harvard University
- Indiana University
- King's College London
- Max Planck Institute for Brain Research, Frankfurt am Main
- Missouri University of Science and Technology
- Stanford University
- THE UNIVERSITY OF HONG KONG
- UNIVERSITY OF HELSINKI
- University of Groningen
- University of Lund
- University of Massachusetts Medical School
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Virginia
- Virginia Tech
- Wageningen University and Research Center
- 15 more »
- « less
-
Field
-
Neurobiologie (ZMNH) Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI (baiome.org) to complement our lively and enthusiastic team of machine learning and
-
. 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
-
conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU Solutions at the UM6P Data Center. Innovate and improve image analysis algorithms for plant trait quantification
-
Job Description A two-year postdoc position is available in the research group of Algorithmic Cheminformatics at the University of Southern Denmark (SDU). The position is in an exciting 6-year
-
data, metabolomics and/or proteomics. Develops robust pipelines for data annotation, analysis, and quality control. Creates analytical algorithms and tools to address scientific questions with big data
-
will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
-
Details Title Postdoctoral Research Position in Computational Biology School Harvard T.H. Chan School of Public Health Department/Area MIPS/Environmental Health Position Description The Haber Lab in
-
developing new algorithmic approaches for TAPS data, interpreting the results in the context of phenotypic observations, and communicating these findings clearly to the broader team. You will prepare the
-
record in either: next-generation sequencing (NGS) methods, biostatistics methodologies, genetic/molecular epidemiology, and/or bioinformatics or computational biology approaches/pipelines is required
-
environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman