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, 2027. Employment Type: Full-Time (1.0 FTE), Benefits-Eligible; Exempt (Salaried) Required Qualifications: PhD in Geography (or a related field); we will consider candidates who have achieved ABD status
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Science, Physics, Mathematics, Robotics, or a related discipline. A strong interest in one or more of the following areas: AI and machine learning, computer vision, signal processing, sensing, robotics, or embedded
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Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Analytical Chemistry
as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact [email protected] .
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. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made
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clinical image quality. 5. Serve as liaison and point of contact for coordination between CT and MR imaging equipment vendors and clinical services, to ensure that the MR imaging equipment is properly and
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effort aimed at establishing new principles for electronic functionalization of living systems, where biological structure and signaling guide both the formation and operation of electronic materials
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fields. RECIPIENT CATEGORY: Degree courses: Students enrolled in a PhD. Non-conferring degrees courses: Masters enrolled in non-academic degree courses. CANDIDATES PROFILE / CANDIDATE ADMISSIBILITY
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at the academic unit level. Serve as a primary point of contact for families of prospective and currently enrolled students. Participate in various university committees and task forces. Serve on the senior
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Degree PhD Course location Saarbrücken In cooperation with Close collaborations have been established with the University of Technology Sydney (UTS, Australia), University of Groningen
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communications and signal processing Experience with FPGA design (VHDL/Verilog/SystemVerilog) Experience in wireless PHY implementation (e.g., OFDM, synchronization, channel estimation) Understanding of MAC layer