Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Technical University of Denmark
- University of Washington
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- CNRS
- Oak Ridge National Laboratory
- UNIVERSITY OF HELSINKI
- University of North Carolina at Chapel Hill
- Washington University in St. Louis
- Aarhus University
- Arizona State University
- Boston University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Duke University
- Durham University
- ERATOSTHENES CENTRE OF EXCELLENCE
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); 27 Sep ’25 published
- Forschungszentrum Jülich
- Free University of Berlin
- Georgia State University
- Heriot Watt University
- Institut Pasteur
- Karolinska Institutet (KI)
- Leiden University
- Lunds universitet
- Maastricht University (UM)
- Maastricht University (UM); yesterday published
- Purdue University
- SciLifeLab
- University of Amsterdam (UvA)
- University of Maine
- University of Miami
- University of Minnesota
- University of New Mexico
- University of Oxford
- University of Tuebingen
- Université de Strasbourg
- Wageningen University & Research
- Yale University
- 33 more »
- « less
-
Field
-
good conditions. What we ask of you You have a recent PhD degree in physics or related field; You have excellent communication skills in oral and written English; You have good coding skills for data
-
associations with socio-economic markers, health, gut microbiomes, and antibiotic resistance in large population cohorts and big data to help mitigate the global antimicrobial resistance (AMR) crisis. AMR is one
-
such as the Minnesota Super Computing Institute, and IHI’s dedicated computing clusters will be provided. Duties/Responsibilities (55%) Conduct research and development in medical imaging and analysis. (30
-
development. Basic Qualifications: A PhD in computer science/engineering, electrical engineering, data science or a related field completed within the last five years. Experience of AI and efficient computing
-
datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU
-
and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
-
large multi-dimensional datasets using statistical tools such as positive matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric
-
and facilities, including Durham’s High-Performance Computer, Hamilton (15,616 CPU cores, 36TB RAM and 1.9PB disk space). As part of the Northern 8 cluster, members of Durham University can also submit
-
methods. Bioinformatic Analysis (Advanced): Proficiency in large-scale omics data analysis and relevant bioinformatics tools alongside integrative multi-omics pipelines. Programming (Expert): Extensive R
-
healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics