Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SURREY
- ADELAIDE UNIVERSITY
- Cornell University
- European Space Agency
- Humboldt-Universität zu Berlin
- INESC ID
- LIVERPOOL JOHN MOORES UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- National University of Singapore
- Paul Scherrer Institut Villigen
- Rutgers University
- Universidade Católica Portuguesa - Porto
- Universidade do Minho - ISISE
- University College Dublin
- University of California, San Diego
- University of Copenhagen
- University of Idaho
- University of Manchester
- University of Southern Denmark
- University of Stavanger
- Université Gustave Eiffel
- Vrije Universiteit Brussel
- Łukasiewicz PORT
- 16 more »
- « less
-
Field
-
of pharmaceutical formulation and manufacturing processes. The role The post holder will develop and implement mechanistic models to analyse and predict the behaviour of pharmaceutical processes. Your work will
-
, and generate high-quality datasets for predictive microbial modelling and risk assessment. Responsibilities include contributing to the design and execution of food challenge studies, integrating
-
acousto-structural transmission paths, developing predictive models, and producing research outputs that support practical noise mitigation solutions for the built environment industry. Key Responsibilities
-
algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python
-
of existing studies to promote the use of risk-informed decision frameworks, prediction models, AI applied to planetary protection. Tasks include: Support the creation of probabilistic models for planetary
-
models. Misclassification Characterization (Month 4-5) Construct an augmented misclassification dataset containing: original and perturbed variants, model predictions, correct labels, perturbation type
-
of pharmaceutical formulation and manufacturing processes. The role The post holder will develop and implement mechanistic models to analyse and predict the behaviour of pharmaceutical processes. Your work will
-
Learning-enabled control and reinforcement learning Power system operations, planning, and electricity market design Transportation systems modeling and optimization Responsibilities: Postdoctoral fellows
-
mechanisms of adaptive and acquired drug resistance, exploring network-level control and feedback in cell signaling systems, identifying novel drug targets and therapeutic strategies, and developing predictive
-
to hybrid AI–mechanistic models for predicting micropollutant removal efficiency. Main supervisor is Professor Jan H. Christensen (jch@plen.ku.dk ), phone: +4535332456). The second PhD will focus on large