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Field
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-resolution imaging implement and test novel instrument concepts based on astrophotonic technologies (including the photonic lantern and photonic integrated optics), by way of computer simulations, laboratory
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of this postdoctoral project is to exploit
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scienceEducation LevelPhD or equivalent Skills/Qualifications PhD degree in Computer Engineering, Computer Science, Information Technology, Systems Engineering, or a related field. Strong knowledge of cybersecurity
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research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office) Physical Demands and Work Environment PHYSICAL DEMANDS: Frequent
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research plans and directions; Natural curiosity and a passion for new subjects and research areas; Proficiency in computer programming and data analysis. You should also have good interpersonal and
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, and proteomic data and manage them in the data repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with
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, geospatial data, and machine learning methods. No candidate is expected to have proficiency in all of these computer-based skills. Rather, the ideal candidate will be a well-rounded individual with a high
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
. Criteria of the candidate To be considered for this role, you will ideally have: PhD in Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques
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, ROS) Solid skills in numerical analysis Advanced knowledge of computer vision Experience in human–robot interaction Particularly Meritorious It is particularly meritorious if the applicant has: A PhD
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework