Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Delft University of Technology (TU Delft)
- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- Forschungszentrum Jülich
- Leiden University
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- Technical University of Munich
- University of Copenhagen
- University of Antwerp
- University of Birmingham
- University of Cambridge
- Wageningen University & Research
- Wrocław University of Science and Technology
- AALTO UNIVERSITY
- Aalborg University
- ETH Zürich
- Fondazione Bruno Kessler
- Grenoble INP - Institute of Engineering
- Heidelberg University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- IMDEA Networks Institute
- Instituto Politécnico de Bragança
- KU LEUVEN
- Linköping University
- Ludwig-Maximilians-Universität München •
- SciLifeLab
- Technical University of Denmark (DTU)
- UNIVERSITY OF HELSINKI
- Umeå University
- University of Groningen
- University of Göttingen •
- University of Nottingham
- University of Oslo
- University of Twente (UT)
- Uppsala universitet
- Utrecht University
- VIB
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- ARCNL
- Abertay University
- Amsterdam UMC
- Blekinge Institute of Technology
- CESI
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Centrum Wiskunde en Informatica (CWI)
- Chalmers University of Technology
- Cold Spring Harbor Laboratory
- Duke University
- Erasmus MC (University Medical Center Rotterdam)
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- GSI Helmholtzzentrum für Schwerionenforschung
- Hannover Medical School •
- Hasselt University
- Heriot-Watt University
- Inria, the French national research institute for the digital sciences
- International PhD Programme (IPP) Mainz
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Lulea University of Technology
- Luxembourg Institute of Science and Technology
- Luxembourg Institute of Science and Technology (LIST)
- Max Planck Institute for Meteorology •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Plant Breeding Research •
- Max Planck Institute of Molecular Plant Physiology •
- Max-Planck Institute for Meteorology
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Newcastle University
- Nicolaus Copernicus University
- Norwegian University of Life Sciences (NMBU)
- Ovidius University of Constanta
- Prinses Máxima Centrum
- RMIT University
- Scuola Superiore Meridionale
- THE UNIVERSITY OF HONG KONG
- Tallinn University of Technology
- Technical University Of Denmark
- Technische Universität Dresden (TU Dresden)
- Technological University Dublin
- The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences
- The Swedish University of Agricultural Sciences (SLU)
- The University of Manchester;
- Theory of Nanophotonics group
- UNIVERSITAT POMPEU FABRA
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UNIVERSITY OF VIENNA
- Ulm University •
- Umeå universitet
- Universitat Politècnica de Catalunya
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Amsterdam (UvA)
- University of Bremen •
- University of Bristol
- University of Cambridge;
- University of East Anglia
- University of Florida
- University of Helsinki
- University of Luxembourg
- 90 more »
- « less
-
Field
-
University. Where to apply Website https://www.academictransfer.com/en/jobs/363990/phd-modelling-non-co2-greenhous… Requirements Specific Requirements You are/have the following personal competencies and
-
interpret novel two-dimensional multiscale mathematical models of mechanical regulation of plant development and regeneration in close collaboration with members of the GreenTE consortium, in particular
-
leader is Associate Professor Soledad Gonzalo Cogno. About the project The successful candidate will contribute to the development of mathematical and computational models to enquire about the mechanisms
-
of interest, e.g. the spectral density of strongly correlated models, as measured in ARPES. • The mathematics of the approach will require a lot of innovative developments too. In the only published article
-
develop AI tools for the interrogation of subcellular proteomics data. We are interested to hear from candidates with experience in probabilistic or statistical modelling of complex biological data, such as
-
. Mathematics is the key to unlocking innovation and addressing these complexities. They all require new, predictive models that can link the processing and microstructure of formulated products to their final
-
flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood scenarios that lie beyond the range of historical
-
and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
-
This PhD project will develop mathematical models to investigate population dynamics in biological systems. Combining dynamical systems theory, mathematical modelling, and data-driven approaches
-
modelling. References/further reading Wang, X. Q. et al. Spatial predictors of immunotherapy response in triple-negative breast cancer. Nature 621, 868-876 (2023). Danenberg, E. et al. Breast tumor