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and supervision of research students, primarily at the undergraduate level. You may be a great fit if: You are a dedicated researcher with a PhD in forest ecology or a related field, possessing strong
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. You will be routed to this when you click on the 'Apply' button. PhD degree in a relevant subject, such as chemistry, materials science or engineering. If you are near submission or have recently
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academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should
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for interdisciplinary collaborations. The position additionally offers travel support for conferences and meetings and a monthly housing allowance. Qualifications • Qualifications/ Discipline: PhD in Physics, Data
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applications for funding for research and creative activities To be successful, you’ll have: PhD in a relevant discipline and/or other relevant qualifications and experience Emerging research and scholarship
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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colleagues across disciplines to integrate TEM findings into broader research studies. Assist in training and supporting junior researchers in TEM techniques. Qualifications PhD in Biology, Biomedical Sciences
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performing other duties that support the efficient operation of the research team. Mandatory: PhD or equivalent in electrical and electronic engineering and/or applied mathematics, in particular, in one
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of a similar nature that are delegated by the PI. Qualifications The applicant should: Hold a PhD or Master’s degree in Epidemiology/Biostatistics related disciplines; Have experience using data