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-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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. The role involves both numerical simulation and experimental lab work. Numerical modelling and vibration analysis of a typical CubeSat structure with representative loads will be carried out. This will
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. The aim of the research is to study a novel liquid metal additive manufacturing process, identified as Molten Metal Deposition (MMD), developed and patented by ValCUN that uses wire feedstock, which is
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, complex quantitative datasets, Experience of quantitative research related to child development, Longitudinal data analysis Additional Information Eligibility criteria Mandatory: *PhD in psychology
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analysis, MS Office and MS Project Additional Information Eligibility criteria Mandatory: *A PhD or equivalent work experience (i.e. 4+ years full-time post-degree experience in research or industry) in a
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-quality research outputs and industry-relevant design methodologies. The ideal candidate will be a Mechanical or Structural Engineer with experience in nonlinear analysis, complex contact mechanics, and
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with expertise in black hole perturbation theory, gravitational-wave data analysis for extreme mass-ratio inspirals, numerical relativity, and post-Newtonian theory, although we are open to all
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, evidence-based conclusions. *Demonstrated involvement in research activities (such as supporting publications, data analysis, or conference materials). *Demonstrated ability to work independently and as part
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or equivalent Skills/Qualifications Communication, Organisational skills, Research skills, Crispr Cas9 to E. coli, Python, R, Java, C, C++, Statistical analysis, Experience in Biosensors, Experience in 3D
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secondments Salary Gross amount (per month) Living Allowance EUR 5470 Mobility Allowance EUR 710 Family Allowance EUR 660 GreenFieldData Project at glance : “IoRT Data management and analysis for Sustainable