Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Nature Careers
- Susquehanna International Group
- ;
- SciLifeLab
- DAAD
- Technical University of Denmark
- Utrecht University
- ; The University of Manchester
- Chalmers University of Technology
- Technical University of Munich
- University of Groningen
- Empa
- Forschungszentrum Jülich
- Leibniz
- NTNU - Norwegian University of Science and Technology
- Umeå University
- University of Nottingham
- ; University of Sheffield
- CWI
- Linköping University
- University of Göttingen •
- ; University of Nottingham
- ; University of Reading
- ; University of Southampton
- Curtin University
- Institut Pasteur
- Leiden University
- Technische Universität Berlin •
- Universiteit van Amsterdam
- University of Bremen •
- University of Newcastle
- University of Oslo
- University of Southern Denmark
- University of Twente
- ; Coventry University Group
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Ecole polytechnique federale de Lausanne - EPFL
- ; Newcastle University
- ; Swansea University
- ; University of Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of Essex
- ; University of Exeter
- ; University of Leeds
- ; University of Oxford
- ; University of Sussex
- ; University of Warwick
- Aalborg University
- Ariel University
- CSIRO
- Claremont Graduate University
- Dresden University of Technology •
- Ecole Polytechnique Federale de Lausanne
- Fraunhofer-Gesellschaft
- Ghent University
- Goethe University Frankfurt •
- Hannover Medical School •
- Imperial College London
- Julius-Maximilians-Universität Würzburg •
- Ludwig-Maximilians-Universität München •
- Lulea University of Technology
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Mathematics •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute of Biochemistry •
- Max Planck Institutes
- Monash University
- Norwegian Meteorological Institute
- Norwegian University of Life Sciences (NMBU)
- Purdue University
- Swedish University of Agricultural Sciences
- Swinburne University of Technology
- TU Bergakademie Freiberg
- The Chinese University of Hong Kong
- Ulm University •
- University of Basel
- University of Bonn •
- University of Cambridge
- University of Copenhagen
- University of Eastern Finland
- University of Florida
- University of Münster •
- University of Sheffield
- University of Texas at Austin
- University of Utah
- Universität Düsseldorf
- Universität Hamburg •
- WIAS Berlin
- Wageningen University and Research Center
- 83 more »
- « less
-
Field
-
foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy. What you can expect Modelling. Apply probability theory, statistical analysis, and
-
foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy. What you can expect Modelling. Apply probability theory, statistical analysis, and
-
performance. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior Alpha Monetization. Blend quantitative
-
methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
-
scientific data paper, to be released alongside or after the publication of the dataset; and Carry out a short, illustrative analysis to demonstrate the utility of the data (e.g. seasonal cycles). The student
-
bring: A PhD, or an equivalent combination of qualifications and demonstrated research experience, in Electrical Engineering, Mathematics or related fields, with a focus on power systems engineering
-
, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
-
consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
-
applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at
-
. The research group led by Martin Enge is specialized in methodology-driven analysis of patient data, especially in the field of single-cell multiomics. We are a multidisciplinary group with expertise in both dry