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image analysis, data processing and machine-learning-based modelling. More about the position The main purpose of the fellowship is research training leading to the successful completion of a PhD degree
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subject or subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and
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scienceEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelGood Research FieldBiological sciences » OtherYears of Research Experience1 - 4 Additional Information Benefits We offer a full-time PhD
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well as your objectives in pursuing a PhD with our group. ·CV. ·Transcripts from your bachelor’s and master’s degree. ·Contact information of three references. Information about applying When scheduling meetings
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7 Sep 2026 Job Information Organisation/Company Adam Mickiewicz University, Poznań Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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100%, Zurich, fixed-term The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürich is seeking a doctoral student to study the design and analysis of human-AI systems. This position
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relevant to the proposed PhD project is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work independently. Excellent Analytical skills
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, MSc in Analytical Chemistry, MPhil (by research), and PhD degrees, the Department presently has around 150 undergraduate students, 70 taught postgraduate students and 90 research students and project
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, electronic engineering, geospatial science, earth science or computer science and technology Strong programming, signal processing, cloud computing, and data analytical skills MINIMUM QUALIFICATIONS FOR SENIOR
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 1 day ago
the field of theoretical high-energy particle/astroparticle physics Use of analytic and numerical methods to explore opportunities for next generation gamma-ray instruments with a focus on constraining