11 parallel-processing-bioinformatics Postdoctoral positions at University of Liverpool
Sort by
Refine Your Search
-
distortions in the presence of a shallow crustal hydrothermal system at a model caldera volcano. The model will use the phase field approach and be implemented in Alya, the parallel multi-physics Computation
-
. This PDRA position will focus on advancing the robotics and automation capabilities of the Mobile Robotic Process Chemist platform - a fully automated, modular system that integrates synthesis, work-up, and
-
efficient exploration of this multidimensional space. Working with the colleagues at the University of Liverpool, you will also help develop process¿optimisation algorithms toward autonomous operation and
-
induced by orbital debris. This includes RF system design, phased-array development, signal processing, and experimental validation using laboratory and plasma-chamber facilities. You will work closely with
-
Pizzuto. This PDRA position will focus on advancing the robotics and automation capabilities of the Mobile Robotic Process Chemist platform ¿ a fully automated, modular system that integrates synthesis
-
of monolithic High Voltage CMOS sensor chips for operation in high-rate and high-radiation environments; Design and qualification of off-chip electronics; Commissioning and operation of precision assembly
-
on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
-
-ICPMS. To identify the timescales of magmatic processes at Diamante-Maipo and assess how the spectrum of magmatic timescales has changed across the lifetime of the caldera, you will undertake diffusion
-
modelling a range of mechanical, thermal and chemical processes as part of that interaction, coordinating with another postdoctoral research associate on experimental validation, and publishing research
-
processes and milestones including experience with research design, ethics and governance. Experience working in one or more of the following: clinical trials, experience-sampling methods, health technology