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Position Number: 0065789 Location: Parkville Role type: Full-time; Fixed-term for 3 years Faculty: Engineering and Information Technology School: Electrical, Mechanical and Infrastructure
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology
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discovery and chemical biology. Our lab is working to understand the molecular mechanisms leading to efficient elicitation of tumor vulnerability for potent cancer targeting. We develop Targeted Protein
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Requirements PhD in Engineering field (Aerospace, Mechanical, or Electrical) or Science field (Computer Science or Applied Mathematics) with research focus on one or more of the following: dynamics and control
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heterogeneous integration. Other related functions as assigned. Required Qualifications A PhD received within the last 3 years in Mechanical Engineering or a closely related discipline with a focus on heat/mass
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The Computational Neuropsychology & Simulation (CNS ) Lab and Dr. Thomas D. Parsons, PhD invites applications for a postdoctoral fellow focused on research in social neuroscience, computer
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and maintenance of equipment. Job Requirements Have relevant competence in the areas of science and engineering Have a degree in STEM discipline. Possessing a Master’s or PhD degree will be advantageous
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molecular mechanisms that cause the whole-body response to cancer. We employ pre-clinical and clinical research to develop and test new treatment strategies combining body reprogramming and anti-cancer
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personal qualifications A PhD in data science, statistical genetics, quantitative genetics, bioinformatics, statistics, computer science, or closely related fields (required). Experience with large-scale