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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
of Munich (TUM), Campus Heilbronn. We are looking for exceptional candidates who are interested in pursuing a PhD in either theoretical computer science or graph and network visualization. We seek PhD
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of the EPSRC ADAPT‑EAF Green Steel programme are available at: https://www.imperial.ac.uk/news/266193/imperial-joins-7m-green-steel-research/
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with investment from Research England in 2019. We are a thriving community of over thirty members, from PhD students to professors, and our research is innovative, applied, interdisciplinary and
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Computer Science or other related areas. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a cover letter and curriculum vitae and include
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excellent customer service to all faculty, staff, students, and department visitors. Coordinates the Interdepartmental PhD Emphasis in Environment & Society (IPEES) program, as well as the newly developing
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review of university research held since 1986. The successful candidates will join the Centre for Transport Engineering and Modelling, which hosts the state-of the-art Intelligent Infrastructure and
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Teaching Assistant (GTA) Programme! How does it work? Candidates will study for a four year, full time funded PhD (3 quarters of your time) whilst working and receiving a salary to gain valuable teaching
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. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in computer engineering, Computer
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for teaching and mentoring diverse groups of students. An ideal applicant will have a PhD degree in computer science (or a related discipline), substantial industry experience, or prior experience teaching
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in