Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- Technical University of Denmark
- DAAD
- University of Nottingham
- Nature Careers
- ;
- NTNU - Norwegian University of Science and Technology
- Cranfield University
- Aalborg University
- Lulea University of Technology
- Susquehanna International Group
- Trinity College Dublin
- University of Groningen
- University of Southern Denmark
- ; The University of Manchester
- AALTO UNIVERSITY
- Chalmers University of Technology
- Forschungszentrum Jülich
- Ghent University
- Monash University
- Umeå University
- University of Cambridge
- ; Technical University of Denmark
- ; University of Nottingham
- ; University of Warwick
- RMIT University
- Radix Trading LLC
- University of Antwerp
- University of Copenhagen
- University of Luxembourg
- University of Melbourne
- University of Southern Queensland
- ; Aston University
- ; City St George’s, University of London
- ; Loughborough University
- ; Swansea University
- ; University of Cambridge
- CWI
- Curtin University
- Deutsches Elektronen-Synchrotron DESY •
- ETH Zurich
- Empa
- Fraunhofer-Gesellschaft
- ICN2
- Institute for Biomedicine and Glycomics / Institute for Drug Discovery
- Linköping University
- Max Planck Institute for Biogeochemistry, Jena
- SciLifeLab
- Swedish University of Agricultural Sciences
- Swinburne University of Technology
- University of Bremen •
- University of Idaho
- University of Lund
- University of Twente
- Uppsala University
- VIB
- Wageningen University and Research Center
- 47 more »
- « less
-
Field
-
for data analysis and experiment automation (Python preferred) Excellent English communication skills (written and verbal) Demonstrated ability to work in interdisciplinary and collaborative environments
-
prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage
-
includes projects in biomedical instrumentation, experimental hardware automation and programming, and computational science. Scientific publications in a relevant area are considered a significant benefit
-
PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
laboratory scale experimentation and characterisation of filtration efficiency across a range of conditions and validate model predictions by developing an automated image analysis tool. To understand
-
. The acquired and already existing database will be used to further develop ML models for the automated detection of clinically relevant markers. The goal is to develop the technique towards potential clinical
-
-driven runtime detection-based mitigation. The candidate will design techniques for automated assessment of attack surfaces and vulnerabilities across software/hardware layers.
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) to engineers and automated systems •Validate the system’s resilience, scalability, and practical relevance using real-world and representative datasets, with evaluation of technical performance and potential
-
for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and developing drug and vaccine treatments. Modern AI techniques
-
automated workflow for high-level quantum chemical calculations and we have generated thousands of examples relating to the reactivity of molecules for a specific chemical reaction. This project will evaluate
-
qualifications: a PhD or equivalent research qualification within chemical engineering or water and environmental engineering In-depth knowledge in process engineering and process automation Knowledge and skills