Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Minnesota
- Heriot Watt University
- King Abdullah University of Science and Technology
- Rutgers University
- University of Copenhagen
- University of Oxford
- ;
- ASNR
- Aarhus University
- Argonne
- Arizona State University
- Aston University
- CEA
- Chalmers University of Technology
- City University London
- Columbia University
- Duke University
- Durham University
- Embry-Riddle Aeronautical University
- Florida International University
- Georgetown University
- KINGS COLLEGE LONDON
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Nature Careers
- Purdue University
- Stanford University
- Stony Brook University
- Technical University of Denmark
- The Ohio State University
- UNIVERSITY OF VIENNA
- University of Adelaide
- University of Central Florida
- University of Florida
- University of Idaho
- University of London
- University of Maine
- University of Minnesota Twin Cities
- University of Oslo
- University of Southern California
- University of Twente
- University of Virginia
- University of Washington
- Virginia Tech
- 33 more »
- « less
-
Field
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
-
cryo-EM equipped with a Summit K2 direct electron detector, BioQuantumenergy filter and a Volta phase plate; Aquilos 2 cryo-FIB/SEM; Leica DM6 FS/EM cryo-CLEM system; NMR facility (Bruker 800 MHz and 700
-
detection framework for tipping points. Contribute to the design of scalable and interpretable forecasting strategies for large climate simulators, integrating adaptive sampling and Bayesian techniques
-
applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental
-
with a strong background in molecular virology, next-generation sequencing, Bayesian analysis, phylogenetic analysis, statistical genetics, and the ability to use R and/or UNIX/command line applications
-
functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
-
related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
-
performance. The salary is commensurate with experience. Applications are invited from individuals who are interested in applying experimental psychology and Bayesian computational modeling to understanding
-
. Experience leading investigations linking simulations to observational data. Experience with statistical characterization of data, preferably within a Bayesian framework. Job Description: A Post-doctoral
-
environmental conditions under various hydrologic restoration scenarios. ELVeS is a flexible modeling framework for exploration of non-normal plant distribution responses to environmental variables. A Bayesian