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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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the excellence cluster Your profile PhD in physics or in a related discipline experience in phase contrast or coherent X-ray imaging advanced programming skills in a high-level computer language (Python or related
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of 27.11.2020 regarding the amendment of OMEC No. 4033 of 23.05.2019 regarding the approval of the Internal Procedure for the recruitment and selection of personnel, with a view to filling positions outside
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
of "new engineering programs", help solve the bottleneck problems for China's core technologies, and establish a new paradigm that connects research frontiers with regional industries. School of AI
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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experience in small animal diagnostic imaging. B2 Masters, PhD [or other evidence of research training]. Skills Essential: C1 High standard of communication skills, both oral and written. C2 Ability to work
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within a Research Infrastructure? No Offer Description PhD Position — The European Epitranscriptomics of Cancer Academy (EURECA) Network https://eureca-dn.com/ EURECA is a Marie Skłodowska-Curie Actions
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given to candidates with PhD or who are ABD Application Procedures & Deadline Information Please create your candidate profile at https://jobs.illinois.edu . Applications must be received by 6:00pm (CST
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Description Riga Technical University (RTU) invites applications for a Tenured Professor position in Electrical Engineering, Electronic Engineering, Information Engineering with specilization in Data Processing
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural