Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- Technical University of Denmark
- University of Washington
- CNRS
- Stanford University
- University of Oxford
- Lunds universitet
- THE UNIVERSITY OF HONG KONG
- University of Maine
- Washington University in St. Louis
- Argonne
- Arizona State University
- Brookhaven National Laboratory
- Chalmers University of Technology
- 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
- Inria, the French national research institute for the digital sciences
- Karolinska Institutet (KI)
- Leiden University
- Leiden University Medical Center (LUMC)
- Linköping university
- Maastricht University (UM)
- Maastricht University (UM); yesterday published
- SciLifeLab
- Swedish University of Agricultural Sciences
- The University of Arizona
- University of California, Los Angeles
- University of Lund
- University of Miami
- University of Oxford;
- University of Southern Denmark
- University of Tuebingen
- University of Tübingen
- University of Utah
- Universität Tübingen
- Université de Strasbourg
- Wageningen University & Research
- 37 more »
- « less
-
Field
-
this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also
-
mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: PhD in a computational discipline such as Data
-
background in data sciences we ask: Insights in the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data as a basis for
-
techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data as a basis for the execution of the dietary intervention trials Ability to apply machine
-
and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
-
lead, you will implement computational quality control and analysis pipelines for various types of omics data from clinical samples from the lung, and assist wet lab-oriented post-docs and PhD students
-
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
-
methods. Bioinformatic Analysis (Advanced): Proficiency in large-scale omics data analysis and relevant bioinformatics tools alongside integrative multi-omics pipelines. Programming (Expert): Extensive R
-
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
-
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