Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Cambridge
- ;
- Nature Careers
- DAAD
- Duke University
- Imperial College London
- Susquehanna International Group
- Temple University
- University of British Columbia
- Brookhaven Lab
- Illinois Institute of Technology
- Leibniz
- Luxembourg Institute of Socio-Economic Research (LISER)
- National Institute for Bioprocessing Research and Training (NIBRT)
- Prof. Ruilin Pei and Shenyang University of Technology
- Purdue University
- The University of Chicago
- Trinity College Dublin
- University of Lund
- University of Minnesota
- University of Nebraska–Lincoln
- University of Newcastle
- University of Pennsylvania
- University of Pittsburgh
- University of Texas at Austin
- University of Zurich Blockchain Center
- Uppsala University
- Wageningen University and Research Center
- 18 more »
- « less
-
Field
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
developed in discussion with the recruited candidate and the team, the main question of the project is the extent to which alterations to chromatin distribution and methylation arise, and how they contribute
-
spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and can contribute to more than one
-
Summary Open Position: Research Associate (Doctoral Researcher) Research group: Blockchain and Distributed Ledger Technologies Group Topic: Cryptoeconomics and Tokenomics Starting date: Upon
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
also include low-risk applications, precision agriculture and biological control. We develop and underpin scientifically based systems knowledge about spray deposition distribution and exposure. We
-
the distribution of expression levels in tens of thousands of single cells. In this project, we will utilise state of the art single cell omics to decipher the biological processes underpinning therapeutic rAAV
-
) to assess the temporal and spatial distribution and identify hotspots of O3/CH4 pollution in forested areas across Luxembourg, (c) to create a geospatial database of O3/CH4, crops, and (dead) forest trees by
-
skills and be interested in developing a collaborative program of applied research in robotics. For example, this may include sensor development, applied robotic perception, algorithm development, or other
-
communication skills, be strongly motivated, and work well in a team setting. A rough effort distribution for this position is indicated below: · Work on assigned projects (~80%) · Review scientific literature