Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- Technical University of Denmark
- Chalmers University of Technology
- Forschungszentrum Jülich
- ; Newcastle University
- ; Technical University of Denmark
- ; University of Leeds
- Imperial College London
- Leiden University
- Monash University
- University of Twente
- Utrecht University
- ; The University of Manchester
- ; University of Surrey
- Aalborg University
- Aarhus University
- Curtin University
- DAAD
- Linköping University
- Lulea University of Technology
- Nature Careers
- Technical University of Munich
- Umeå University
- Universiteit van Amsterdam
- University of Bern
- University of Copenhagen
- University of Groningen
- University of Newcastle
- University of Southern Denmark
- University of Southern Queensland
- 21 more »
- « less
-
Field
-
) implement the COMPAS survey across two waves at St John Ambulance, (c) develop a predictive algorithm that can predict suicidal intentions and behaviours 12 months later, (c) use the algorithm to stratify
-
programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
-
cybersecurity team at Luleå University of Technology and also our partner within Cybercampus Sweden, RISE. We will use methods and technologies including expert systems, evolutionary algorithms, machine learning
-
-driven algorithms which can solve state estimation problems in fluid mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research
-
analytics, anomaly detection, and embedded redundancy to enhance system resilience. Students will focus on creating adaptive algorithms and hardware implementations that enable real-time diagnostics and
-
, stress markers, EEG, and ECG — will be collected by VR headsets and IoT devices. ML algorithms will analyse this data to identify trends, project risk factors, and propose tailored treatments. By combining
-
frameworks to ensure the developed processes are compliant, scalable, and environmentally responsible. Multiobjective optimization algorithms will be employed to balance key performance indicators such as
-
control algorithms for whole system efficiency optimisation. Design and simulate power management circuits using tools like SPICE or MATLAB/Simulink. Prototype and test circuits with real energy harvesters
-
student, you will be embedded in the research groups Computational Imaging and Deep Learning (CIDL) and Applied Quantum Algorithms (aQa), part of the Leiden Institute of Advanced Computer Science (LIACS
-
to the full development pipeline: from algorithm design and implementation to clinical integration and evaluation. You will also work on improving prognostic models using (neuro-symbolic) AI and develop