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approaches across disciplines, from algorithms that analyze financial systems to technologies that improve health outcomes through data integration. Students gain in-demand skills and the ability to leverage
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applicants. Please read additional guidance here: https://www.dimen.org.uk/applications Studentships commence: 1st October 2026 Good luck! References 1. Strawbridge SE, Schrattel AK, Humphreys P, Jones KA
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knowledge of multi-objective problems. Master students or Engineers in the field of Process Systems Engineering are strongly encouraged to apply. Knowledge of machine learning algorithms, energy markets and
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products derived from spaceborne P-band SAR observations. Main activities include: Forest monitoring using multi-source Earth observation data Design and conduct analyses integrating BIOMASS products with
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tagging algorithm development as well as physics data analysis, with a focus on Higgs boson physics, top quark physics, and searches for new physics signatures. This is what you will do After the discovery
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Worldwide Dr M Villa-Uriol, Dr P Yang Application Deadline: 15 January 2026 Details A fully funded PhD opportunity to participate in the world-leading research undertaken by the EPSRC Doctoral Landscape
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processing algorithms from concept to implementation. Eligibility to obtain a United States SECRET clearance (or higher) is required for ongoing employment in this position Minimum Qualifications: 1
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Administration, Level C Job Title Knowledge and Training Analyst-1 Department Change and Communications | Integrated Service
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to test and demonstrate the developed concepts and algorithms for integrated (re)planning. This PhD research will use a mixture of techniques from logistics, operations research, multiple-criteria decision
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
variety of mathematical tools and algorithmic approaches (Continuous-Time Markov chains, Mixed-Effects modelling, Branching processes, stochastic simulation) as well as single-cell gene expression datasets