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wet chemistry and other well-established solid-state methods. Required qualifications: The candidate must hold a PhD degree in Materials Science, Materials Chemistry, Inorganic chemistry, or related
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catalytic active MOF composites for sensing using fluorescence-based sensing. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and
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detection Domain adaptation Few‑shot learning Graph‑based models Vision transformers and/or diffusion models 2D+time (video) segmentation Qualifications To be eligible for a postdoctoral fellowship, the
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Aarhus University is seeking three postdoctoral fellows for research on metabolic dynamics and pl...
Do you have a passion and vision for developing new platforms to unleash the power of microbial metabolism and physiology to find scalable solutions for CO2 capture and conversion ? Come and be part
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Education: PhD in Civil Engineering, Mechanical Engineering, or relevant field. Certification and Licensing: Not applicable Experience: Experience in structural reliability analysis, probabilistic modeling
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://doi.org/10.1109/IROS40897.2019.8968000 , Macau, China, November 2019 ESSENTIAL REQUIREMENTS PhD degree in engineering, computer science or related field Experience with vision systems Experience in control
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assist us with the review process. You may upload these documents to the application under CV/Resume. Required Education and Experience Appropriate PhD in a related field Preferred Qualifications PhD in
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to apply for external funding. Website: https://www.torontomu.ca/disability-studies/ (opens in new window) Blog - Vision, Passion, Action - http://radssite.wordpress.com (external link, opens in new window
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computational research in collaboration with other team members, and is expected to take a role in providing guidance to PhD, masters, and bachelor students. The postdoc will be part of the computational
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SUNRISE. Job requirements 1. PhD in Philosophy, or a closely related field, is necessary. 2. Expertise in climate ethics and/or philosophy of climate science is necessary; familiarity, or at least strong