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following criteria: PhD in Computer Engineering, Computer Science, Electrical Engineering, or a closely related field Demonstrated research excellence, evidenced by peer-reviewed publications Expertise in
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The applicant must hold a PhD degree or a foreign degree equivalent to a PhD degree in electrical engineering, chemical engineering, engineering physics or similar. The degree needs to be obtained by the time of
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countries with different land-use histories and patterns of current land use. The PhD candidate will use historic plots from the last decades and will re-sample plots from a range of different grassland
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a wider ERA Chair team in interdisciplinary aspects such as microfluidic design and machine learning, however it is anticipated upon completion of the PhD the candidate will be positioned as a world
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questions. Required Qualifications for All Candidates MD, DO, MBBS, PhD, EdD, or equivalent in a related field such as the health sciences, education or other field given context of work experience and/or
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conference presentations Keep up to date with current developments in the research field through regular literature surveys Education Requirement: PhD or MD, with research training. Applicants who expect
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state physics Technology » Nanotechnology Chemistry » Physical chemistry Physics » Applied physics Technology » Materials technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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: Completed master's degree in computer science, mechatronics, or electrical engineering. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage
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of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293643/phd-candidate-in-ai-suppo
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams and