Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- Aalborg University
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- Monash University
- University of Nottingham
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- CNRS
- University of Warwick;
- KU LEUVEN
- ETH Zürich
- Forschungszentrum Jülich
- SciLifeLab
- The University of Manchester
- University of Birmingham
- University of Exeter
- University of Oslo
- Utrecht University
- Wageningen University & Research
- Aalborg Universitet
- Amsterdam UMC
- BI Norwegian Business School
- Fondazione Bruno Kessler
- Inria, the French national research institute for the digital sciences
- Manchester Metropolitan University
- University of Copenhagen
- University of Tübingen
- Vrije Universiteit Amsterdam (VU)
- AALTO UNIVERSITY
- Durham University
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM)
- Queensland University of Technology
- Radboud University
- The University of Newcastle
- University of Basel
- University of Bergen
- University of Groningen
- University of Göttingen •
- University of Innsbruck
- University of Warwick
- Wrocław University of Science and Technology
- Aarhus University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centrum Wiskunde en Informatica (CWI)
- Grenoble INP - Institute of Engineering
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- IDAEA-CSIC
- Instituto de Sistemas e Robótica (ISR)
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Leiden University
- Linköping University
- Lulea University of Technology
- Luleå University of Technology
- Newcastle University
- Norwegian Institute of Bioeconomy Research
- Tilburg University
- Trinity College Dublin
- UNIVERSITATEA DIN CRAIOVA
- UNIVERSITY OF VIENNA
- Umeå University
- University of Bedfordshire
- University of Bremen
- University of Cambridge
- University of Münster •
- University of Primorska
- University of Twente (UT)
- University of Vienna
- Uppsala universitet
- VIB
- Vrije Universiteit Brussel
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- ARCNL
- Abertay University
- Adam Mickiewicz University
- BAM Bundesanstalt für Materialforschung und -prüfung
- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
- BRGM
- Blekinge Institute of Technology
- CNAG
- CNR
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Centro de Investigaciones sobre Desertificación (CIDE, CSIC-UV-GVA)
- City St George’s, University of London
- Constructor Knowledge Labs gGmbH
- Deutsches Elektronen-Synchrotron DESY •
- EURAXESS
- Erasmus MC (University Medical Center Rotterdam)
- Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer
- Graz University of Technology
- Hannover Medical School •
- Heidelberg Institute for Theoretical Studies (HITS gGmbH)
- Heidelberg University
- Hertie School •
- IFIC
- IMDEA Networks Institute
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- 90 more »
- « less
-
Field
-
decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch energy
-
, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results into useful decision support Publish and communicate results and
-
reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop
-
language processing that address concrete problems and are both theoretically rigorous and interpretable. The PhD is funded by the ERC CoG PANDORA (Deep Multimodal Learning for Mining and Generation of Arguments
-
; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting pathogen invasion success and plant
-
AI and data science, particularly in dynamic settings where observations are collected sequentially and decisions influence future outcomes. This project will develop novel machine learning and
-
spatial and temporal variability in sediment accumulation and vegetation development. This PhD project is part of a larger interdisciplinary research initiative aiming to enable a transition towards more
-
of electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration
-
. Familiarity with automotive systems, electric vehicles, and embedded BMS constraints. Experience with system identification, uncertainty-aware modelling, large datasets, and machine learning. Evidence of
-
support. The PhD candidate will develop and validate a hybrid methodology that combines established stochastic optimization with AI-based learning. The aim is not only to develop new algorithms, but also to