Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- NTNU Norwegian University of Science and Technology
- Newcastle University
- University of Oslo
- CNRS
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- University of Amsterdam (UvA)
- University of East Anglia
- University of Groningen
- Wageningen University & Research
- AALTO UNIVERSITY
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- ETH Zürich
- KU LEUVEN
- Maastricht University (UM)
- Norwegian University of Life Sciences (NMBU)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Technical University of Munich
- Technische Universität Chemnitz
- University of Basel
- University of Nottingham
- University of Twente (UT)
- Utrecht University
- Aarhus University
- BI Norwegian Business School
- BRGM
- Bellvitge Biomedical Research Institute
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Centro de Investigaciones sobre Desertificación (CIDE, CSIC-UV-GVA)
- Chalmers University of Technology
- Constructor Knowledge Labs gGmbH
- Escola Superior de Saúde do Politécnico do Porto
- European Synchrotron Radiation Facility
- FEUP
- Fondazione Bruno Kessler
- Forschungszentrum Jülich
- Foundation for Research and Technology-Hellas
- Fundació Centre de Recerca en Agrotecnologia-AGROTECNIO
- GSI Helmholtzzentrum für Schwerionenforschung
- Geological Survey of Denmark and Greenland (GEUS)
- Hasselt University
- IDAEA-CSIC
- IMEC
- Imperial College London
- Institut Agro Rennes-Angers
- Institut Català de Nanociència i Nanotecnologia
- Institute for bioengineering of Catalonia, IBEC
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- International PhD Programme (IPP) Mainz
- Lunds universitet
- Max Planck Institute of Geoanthropology, Jena
- Mossakowski Medical Research Institute, Polish Academy of Sciences
- Newcastle University;
- Purdue University
- Radboud University Medical Center (Radboudumc)
- Silesian University of Technology
- Technical University Of Denmark
- Technical University of Munich (TUM)
- Technische Universität München
- UNIS
- Universidade de Vigo
- Universitatea din Bucuresti
- University Medical Center Groningen
- University of Copenhagen
- University of Florida
- University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC)
- University of Mainz
- University of Oldenburg
- University of Oxford
- Università degli Studi di Firenze
- Université Libre Bruxelles
- Uppsala universitet
- Vrije Universiteit Amsterdam (VU)
- Łukasiewicz Research Network - Krakow Institute of Technology
- 66 more »
- « less
-
Field
-
at experimentally informed microstructural features. You will combine first-principles modelling and machine-learning approaches to develop predictive simulations of hydrogen behaviour in compositionally complex Fe
-
that compromise cellular viability. Proteostatic decline is not merely a consequence of aging but an early, causal event whereby loss of proteostasis precedes and predicts organismal decline, and its onset is
-
STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
-
precision medicine by improving prognostication and treatment selection for cancer patients through the development of novel prognostic and treatment-predictive biomarkers, as well as by elucidating tumor
-
. The successful candidate will combine extensive experimental testing with insulation lifetime modelling to study PD inception, degradation and endurance, and to develop approaches for predicting insulation
-
for a research grant within the framework of project “ST-e.Biofilm – Development of spatial transcriptomic for the characterization of engineered biofilms”, with operation code at Funds Platform (Balcão
-
predict changes in the degree of overlap in species performance, phenology, and demographic responses under climatic stress, and whether such changes reduce the capacity of RD to promote ecosystem stability
-
can be accommodated within a general foundation model framework, and to what extent a common model can generalize across them. Research directions may also include generative or predictive modeling
-
Primary Supervisor: Dr Ke Li Foundation models trained on DNA and RNA sequences are beginning to transform genomics, but their predictions often remain difficult to interpret. A model may identify a
-
biomarkers predicting clinical outcome are lacking. Improving our understanding of the biological pathways underlying mitochondrial disease is essential for the development of better diagnostic, prognostic and