Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- AALTO UNIVERSITY
- Heriot Watt University
- University of Glasgow
- University of Nottingham
- UCL;
- UNIVERSITY OF SOUTHAMPTON
- University of Lincoln
- University of Oxford
- Cranfield University
- UNIVERSITY OF VIENNA
- University of Liverpool
- University of Oxford;
- Aston University
- Brunel University
- Durham University
- King's College London
- King's College London;
- Liverpool School of Tropical Medicine;
- London Business School;
- Nature Careers
- Plymouth University
- UNIVERSITY OF HERTFORDSHIRE
- University of Birmingham
- University of Cambridge;
- University of Essex;
- University of Liverpool;
- University of Reading
- University of Sussex;
- 18 more »
- « less
-
Field
-
biology or a closely allied discipline along with experience in creating, writing, enhancing, and running code in R/Python, using and developing microfluidic devices and advanced imaging. You will have
-
London, Prof. Alexei Lapkin from the University of Cambridge, and industrial collaborators, within the AIChemy Hub (https://aichemy.ac.uk/). The successful candidate will focus on developing an advanced
-
a relevant field and have strong quantitative and analytical skills, including experience in food systems modelling or closely related areas. Proficiency in data analysis and coding (e.g. Python, R
-
Skilled in feature extraction Programming ability using Python or MATLAB, and familiar with platforms such as Scikit-image, TensorFlow, or PyTorch Desirable: PhD in a related area Knowledge of reinforcement
-
machine learning. The work will require solid programming skills, especially in Python and Julia. We expect the candidates to have: MSc degree in physics, materials science, chemistry, mathematics
-
as opportunities allow. Lab Website: https://ilandavis.com/ Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance of Prof. Ilan Davis and Dr
-
practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication
-
acquisition, calibration, uncertainty/rigour and noise control). Strong signal processing skills (e.g., using Python and/or MATLAB). Ability to work effectively in an interdisciplinary team and communicate
-
such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems or manufacturing. Excellent
-
confident in handling the relevant data and be competent in programming on either MATLAB or Python. You will also be enthusiastic about building and troubleshooting your experimental rig. You will have the