Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Utrecht University
- ;
- Nature Careers
- University of Groningen
- VIB
- SciLifeLab
- Wageningen University and Research Center
- ; Swansea University
- ; University of Birmingham
- DAAD
- Heidelberg University
- University of Antwerp
- Chalmers University of Technology
- Duke University
- Ghent University
- Institut Pasteur
- La Trobe University
- Leibniz
- Luxembourg Institute of Socio-Economic Research (LISER)
- Monash University
- RMIT University
- Technical University of Denmark
- University of Adelaide
- University of Twente
- Vrije Universiteit Brussel
- ; Cranfield University
- ; The University of Manchester
- ; University of Greenwich
- ; University of Surrey
- AALTO UNIVERSITY
- Ecole Polytechnique Federale de Lausanne
- Forschungszentrum Jülich
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Meteorology •
- NTNU - Norwegian University of Science and Technology
- Swedish University of Agricultural Sciences
- Technical University of Munich
- University of California, Berkeley
- University of Cambridge
- University of Copenhagen
- University of Luxembourg
- University of Oxford
- University of Southern Denmark
- WIAS Berlin
- 35 more »
- « less
-
Field
-
materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
-
with five partners. The focus of the doctoral program is the analysis of the spatial and temporal variability of decontamination efficiency in different soil materials on a flow cell scale. The results
-
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling Job No.: 683222 Location: Clayton campus Employment Type: Full-time Duration: 3.5 to 4-year fixed
-
mobility of migrants shape local populations? Developing a spatial microsimulation model of population dynamics with application in infectious disease modelling (DynaMIGs)”. DynaMIGs is a four-year
-
. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
-
phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
-
phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
-
will transition in a second phase to white box approaches that result in interpretable models. For ground truth data, μCT data will be used. A similar approach will be applied using surface roughness
-
: 30 August 2025 Apply now As part of the EMBRACER project external link , you will use advanced models integrating our climate system to human behaviour to study potential scenarios of what could happen
-
: Approximately 2,000 EUR/month for three years Website: IMPRS-ESM Application Contact: office.imprs at mpimet.mpg.de The International Max Planck Research School on Earth System Modelling (IMPRS-ESM) invites