Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Stanford University
- University of Washington
- Baylor College of Medicine
- SciLifeLab
- Technical University of Denmark
- University of Oklahoma
- University of Oxford
- Washington University in St. Louis
- Boston University
- Broad Institute of MIT and Harvard
- Centre for Genomic Regulation
- Cold Spring Harbor Laboratory
- Harvard University
- Indiana University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- THE UNIVERSITY OF HONG KONG
- UNIVERSITY OF HELSINKI
- University of British Columbia
- University of California, Merced
- University of Groningen
- University of Kansas
- University of Lund
- University of Virginia
- VIB
- Virginia Tech
- 16 more »
- « less
-
Field
-
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
-
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
-
regenerative medicine. Duties The field of synthetic biology is highly interdisciplinary, combining advanced molecular tools (e.g., CRISPR-based genome engineering), computational algorithms, and DNA/RNA
-
/or implementation of algorithms and/or computational pipelines Background/experience in building statistical and/or machinelearning methods, in particular for data integration tasks, would be a plus
-
on projects related to AI-based dental prostheses design and materials optimization algorithm development, under the supervision of Professor James Tsoi. No biology, biomaterials or patient contact will be
-
. 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
-
Department of Computer Science of Faculty of Science invites applications for a POSTDOCTORAL RESEARCHER IN ALGORITHMS AND COMPUTATIONAL BIOLOGY starting from September 2025, or as agreed
-
programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
-
learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing data and scRNA-seq data
-
academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming