564 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "UNIV" "UNIV" PhD research jobs
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields. Solid background in power systems dynamics and modeling including load flow, short-circuit, and contingency analysis
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Tamara Rogers (tamara.rogers@ncl.ac.uk) . Key Accountabilities Develop computational models to simulate magnetohydrodynamics in the outer layers of a typical Hot Jupiter. Generate, analyse and interpret
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maintain existing analysis/sorting equipment and computer systems. Participate in the selection of new facility equipment and software with advancing technology so that the facility maintains its status as a
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an active and dedicated role in the teaching activities of the APMS section and to engage fully in the department’s educational programmes. You will teach and supervise students at bachelor, master and
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agencies (e.g., NSF, DoD, DOE, NASA) to secure competitive external funding and support a self-sustaining research program. Lead and contribute to interdisciplinary projects in areas such as smart material
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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within the project AI4TECS Writing a doctoral dissertation in computer science Publishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and
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will focus on new numerical algorithms that improve the computational efficiency of flutter constraint evaluations. By accelerating these evaluations, we aim to enable rapid flutter assessments, and
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Qualifications: Demonstrated expertise in multi-omics bioinformatics analysis (e.g., genomics, transcriptomics, epigenomics, metagenomics) and development of scalable computational workflows for biomedical