Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Monash University
- University of Oslo
- CNRS
- Ghent University
- University of Glasgow
- Zintellect
- King Abdullah University of Science and Technology
- Montana State University
- Technical University of Denmark
- Technical University of Munich
- UNIVERSITY OF MELBOURNE
- University of Amsterdam (UvA)
- University of Idaho
- University of Nottingham
- University of Sheffield
- Uppsala universitet
- 3rdplace
- Boston University
- Brandeis University
- Cambridge, University of
- Case Western Reserve University
- Center for Biologics Evaluation and Research (CBER)
- Center for Drug Evaluation and Research (CDER)
- Centrale Supelec
- Eindhoven University of Technology (TU/e)
- Emory University
- French National Research Institute for Agriculture, Food and Environment (INRAE)
- HHMI
- Harvard University
- Hewlett Packard Enterprise
- ICN2
- INRIA
- Imperial College London;
- Indiana University
- Inria, the French national research institute for the digital sciences
- Institut de Físiques d'Altes Energies (IFAE)
- Instituto Superior Técnico
- Iowa State University
- LAUM UMR CNRS 6613
- Linköping University
- Ludwig-Maximilians-Universität München •
- Lunds universitet
- Massachusetts Institute of Technology
- Max Planck Institutes
- McGill University
- National Research Council Canada
- Nature Careers
- Palevoprim
- Queen's University
- RIKEN
- Radboud University
- Rutgers University
- SUNY Polytechnic Institute
- The University of Arizona
- The University of Chicago
- The University of Manchester
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UNamur - Lab of F. De Laender
- University College Dublin
- University of Bologna
- University of California
- University of California Los Angeles
- University of Florida
- University of Liverpool
- University of Manchester
- University of Miami
- University of Minnesota
- University of Nebraska–Lincoln
- University of Oxford
- University of Oxford;
- University of South Carolina
- University of Texas at Arlington
- University of Texas at El Paso
- Université Paris-Saclay GS Physique
- Université de Caen Normandie
- 65 more »
- « less
-
Field
-
randomized control trials, value-added models, instrumental variables, synthetic controls, Bayesian estimation, and/or machine learning, is a plus. Ability to teach, support, and/or train others in analysis
-
computer code. Preferred Qualifications PhD in ecology, evolution, or closely related field. Expertise in one or more of the following biodiversity groups: fish, birds, reptiles, amphibians, insects
-
-informed machine learning. The ideal candidate will have a strong background in developing and integrating probabilistic graphical models, Bayesian networks, causal inference, Markov random fields, hidden
-
plants they visit and pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing
-
upcoming SPHEREx data. The candidate will perform all levels of data analysis, from the processing of raw data to maps to power spectrum estimation of resulting CIB maps. The candidate will also have the
-
-objective, real-time) and supply-chain optimization; PdM and RUL with health monitoring; digital twins/smart factories, cross-site transfer and federated/edge learning; uncertainty estimation and calibration
-
personalizable computer replica of the immune system – to enable everyone and anyone to assess and optimize the health of their immune system and simulate and predict its future ability to respond to diseases. Why
-
design, computer experiments, sequential analysis, shape-constrained inference, time series, and Bayesian analysis. In applied mathematics, these include information theory, coding theory, control theory
-
., Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models. PLoS Comput Biol 15, e1007492 (2019). Overview Overview The MRC-University of Glasgow Centre for Virus
-
) Knowledge/Skills/Abilities Knowledge: A strong working knowledge of advanced epidemiologic theory and general predictive modeling methods, including model design, parameter estimation, sensitivity analysis