Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Cranfield University
- The University of Manchester
- NTNU Norwegian University of Science and Technology
- Aalborg University
- Nature Careers
- University of Nottingham
- Wageningen University & Research
- CNRS
- Forschungszentrum Jülich
- Umeå University
- University of Warwick
- Utrecht University
- Delft University of Technology (TU Delft)
- Empa
- Linköping University
- Luleå tekniska universitet
- Medical University of Innsbruck
- Northeastern University London
- Norwegian University of Life Sciences (NMBU)
- Swedish University of Agricultural Sciences
- Tallinn University of Technology
- University of Amsterdam (UvA)
- University of Antwerp
- University of Exeter
- University of Newcastle
- University of Oslo
- Vrije Universiteit Brussel (VUB)
- ;
- CEA
- Chalmers University of Technology
- Cranfield University;
- ENVT INRAE
- Erasmus University Rotterdam
- European Magnetism Association EMA
- Faculdade de Medicina da Universidade do Porto
- Hasselt University
- Helmholtz-Zentrum Umweltforschung
- IMDEA Networks Institute
- INRIA
- Inria, the French national research institute for the digital sciences
- Institut National des Sciences Appliquées de Lyon
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Iquadrat Informatica SL
- Josep Carreras Leukaemia Research Institute (IJC)
- KNAW
- KU LEUVEN
- Lulea University of Technology
- Luleå university of technology
- Medizinische Universität Wien (Medical University of Vienna)
- Monash University
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- Newcastle University;
- Queensland University of Technology
- SciLifeLab
- Scuola IMT Alti Studi Lucca
- Technical University Of Denmark
- Technical University of Munich
- Texas A&M AgriLife
- The University of Edinburgh;
- UNIVERSIDAD EUROPEA
- University College Cork
- University of Agder
- University of Birmingham
- University of Bristol
- University of Cambridge;
- University of Dundee;
- University of Sheffield
- University of Southern Denmark
- Université de Caen Normandie
- Uppsala universitet
- Łukasiewicz PORT
- 64 more »
- « less
-
Field
-
, RNAseq, serum proteome, WSI), incorporating the clinical data, primarily for the identification of biomarkers that predict response to treatment. The spatial studies will be a key focus, but integration
-
macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
-
14 Mar 2026 Job Information Organisation/Company Scuola IMT Alti Studi Lucca Research Field Computer science » Modelling tools Engineering » Control engineering Physics » Applied physics Engineering
-
sensing systems Design and validate machine learning models for predictive monitoring of physiological states Analyse large experimental datasets and quantify sensor performance (accuracy, robustness
-
. Other data sources could be compiled to create climate analogues. 2) Develop a predictive model forecasting the future impacts of climate change on cardiorespiratory fitness in children and adolescents 3
-
to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
-
design strategies, while producing structured spatio-temporal datasets that will serve as input for realising predictive models. Objective 3 — Realize predictive tools for scenario-based assessment
-
, the project will establish predictive frameworks capable of optimising process parameters, controlling microstructure evolution, and improving part quality in real time. Robotic platforms will be used
-
they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale
-
predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence (AI) models present a promising alternative by addressing