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Field
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technologies and functional genomics to dissect mechanisms of treatment resistance and lineage plasticity in advanced prostate cancer. The successful candidate will join a dynamic, multidisciplinary team with
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-driven to advance with their research project. Work in an interdisciplinary team with expertise in mechanics, complex fluids, physics and biophysics and sustainability thinking. Follow our PhD program that
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, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities
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interface of developmental/stem cell biology, immunology, and computational systems analysis in a highly collaborative and multidisciplinary environment. Qualifications Required: PhD (or nearing completion
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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computational fluid-solid mechanics with a focus on coupled poromechanical modelling for coal seam gas (CSG) production, fluid injection, and geomechanical responses such as subsurface compaction and subsidence
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer
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Department: Mechanical, Industrial and Mechatronics Engineering Position supervisor: Dr. Farrokh Janabi-Sharifi Contract length: 1 year Hours of work per week: 36.25 Position type: Postdoctoral
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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have a PhD Degree in Mechanical Engineering, Automation, Control Engineering, Mechatronics, etc. Strong background in path planning and decision-making. Candidates having relevant research or working