Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Munich
- Nature Careers
- AALTO UNIVERSITY
- CNRS
- Susquehanna International Group
- DAAD
- The University of Chicago
- University of Cambridge;
- University of Luxembourg
- Carnegie Mellon University
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- KINGS COLLEGE LONDON
- Radix Trading LLC
- The University of Iowa
- UNIVERSITY OF HELSINKI
- Universidad de Alicante
- Universidade de Coimbra
- University of Groningen
- University of Innsbruck, Institute of Computer Science
- ;
- Aarhus University
- Academic Europe
- Brookhaven Lab
- Brookhaven National Laboratory
- Edmund Mach Foundation
- Emory University
- Forschungszentrum Jülich
- Hertie AI institute for brain health / University of Tübingen
- Indiana University
- Itä-Suomen yliopisto
- King's College London
- Kozminski University
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- Lehrstuhl für Nachhaltige Thermoprozesstechnik und Institut für Industrieofenbau und Wärmetechnik
- Leibniz
- Liverpool John Moores University
- Lunds universitet
- Massachusetts Institute of Technology (MIT)
- MedUni Vienna
- National Renewable Energy Laboratory NREL
- New York University
- Northeastern University
- Norwegian University of Life Sciences (NMBU)
- RAEGE-Az
- Seed Robotics
- Tampere University
- Technical University of Denmark
- The University of Alabama
- The University of Newcastle
- UNINOVA - Instituto de Desenvolvimento de Novas Tecnologias
- UNIVERSITY OF BUCHAREST
- UNIVERSITY OF SYDNEY
- UTIA, Czech Academy of Sciences, Prague.
- Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Jyväskylä
- University of Minnesota
- University of Montreal-CHU Sainte Justine Children's Hospital Research Center
- University of Newcastle
- University of Oxford
- University of Pardubice
- University of Sheffield;
- University of Sydney
- University of Tübingen
- University of West Bohemia
- Université Grenoble Alpes
- Vrije Universiteit Amsterdam
- Warsaw University of Technology - Centre for Credible AI
- 59 more »
- « less
-
Field
-
data science methods to build explainable and integrated machine learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care
-
qualification you must hold a PhD degree (or equivalent). Specifically, a PhD in manufacturing engineering (or equivalent) with documented experience in the following areas: Precision machining Machining system
-
of this annex, as well as to: Programming in Python and R. Statistical classification and machine learning methods: SVM, neural networks and logistic regression. 3.2. Qualification: Official Master’s degree in
-
) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and validating new robotic lower-limb prostheses 3) Exploring other high-risk high-reward research areas related
-
capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale
-
Machine Learning Cluster of Excellence TERRA CIN LEAD Graduate School & Research Network Collaborative Research Centers Transregional Collaborative Research Centers (CRC-TRRs) DFG Research Units Research
-
23 Oct 2025 Job Information Organisation/Company Universidade de Coimbra Department SGRH - DRGC Research Field Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country
-
engineering, data science, or related fields Strong programming skills (especially in Python), and experience with simulation, modelling, data analysis, machine learning, and hardware control Solid
-
a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation
-
adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural