Sort by
Refine Your Search
-
Country
-
Employer
- Harvard University
- Zintellect
- University of Oslo
- University of British Columbia
- City of Hope
- Indiana University
- Cornell University
- The University of Queensland
- University of Bergen
- Dana-Farber Cancer Institute (DFCI)
- Northeastern University
- University of New South Wales
- University of Texas at Austin
- Carnegie Mellon University
- Hong Kong Polytechnic University
- King Abdullah University of Science and Technology
- Nanyang Technological University
- University of Arkansas
- University of California
- Barnard College
- Ellison Institute of Technology
- Johns Hopkins University
- Loyola University
- University of North Carolina at Charlotte
- Aarhus University
- Central Michigan University
- Francis Crick Institute
- LINGNAN UNIVERSITY
- Lawrence Berkeley National Laboratory
- Max Planck Institute of Biochemistry, Martinsried
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Colorado
- University of Maryland, Baltimore
- University of Michigan
- University of Notre Dame
- University of Nottingham
- University of South Carolina
- University of Sydney
- ;
- American University
- Birkbeck University of London
- Birkbeck, University of London;
- CIC bioGUNE
- CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias)
- Cori Institute of Molecular and Computational Metabolism
- Dalhousie University
- ETH Zürich
- FEUP
- Florida Atlantic University
- Georgia Southern University
- Lingnan University, Hong Kong;
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- Marquette University
- Max-Planck-Institut für Bildungsforschung
- Mayo Clinic
- Montana State University
- National Center for Toxicological Research (NCTR)
- OCAD University
- Oden Institute for Computational Engineering and Sciences
- Pennsylvania State University
- Research Center for Molecular Medicine (CeMM), ÖAW
- Ryerson University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- School of Sciences
- SciLifeLab
- Shanghai Jiao Tong University
- Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine
- Technical University of Munich
- The Francis Crick Institute;
- Tohoku University
- Tsinghua University
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UNIVERSITY OF SYDNEY
- UiT The Arctic University of Norway
- University of Alabama, Tuscaloosa
- University of California, San Diego
- University of Denver
- University of Exeter;
- University of Idaho
- University of Kansas Medical Center
- University of Michigan (U-M)
- University of New Mexico
- University of Otago
- University of Rhode Island
- University of Science and Technology of China
- University of St Andrews;
- University of Stirling
- University of Texas Rio Grande Valley
- University of Toronto
- University of Tübingen
- University of Waterloo
- Visterra, Inc.
- Weill Cornell Medicine
- 86 more »
- « less
-
Field
-
multivariate, statistical-genetic or machine-learning approaches. · Research involving developmental, ageing or neuropsychiatric cohorts, including longitudinal or large-scale population datasets. · High
-
, chromatin profiling, genomics, spatial transcriptomics and single-cell data. Apply statistical, machine learning, and network-based approaches to analyze high-dimensional biological data. Collaborate closely
-
, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate
-
for Academic Performance . About You You will demonstrate: Completion of a PhD in computer science, cyber security, human-computer interaction, or a closely related discipline with a focus on privacy, provenance
-
matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic
-
of metabolism, membrane transport, cellular regulation, structural systems biology, machine learning and disease mechanisms. These positions are embedded in the transition from CeMM in Vienna to the newly founded
-
. Specific topics of focus include, but are not limited to, linear response, statistical limit laws, random and nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics
-
or more statistical or scripting languages, preferably R or MATLAB. Knowledge of survival-based statistical analysis, such as Cox regression and Kaplan-Meier analysis. Working knowledge of machine learning
-
by applying existing and novel computational biology, bioinformatic, and machine learning algorithms to sequencing datasets and correlating them with multi-dimensional clinical datasets that contain
-
quantitative genetics, Bayesian methods, machine learning, large-scale genomic datasets, single-cell omics or integrative omics analyses would be highly regarded if the candidate was not initially trained in