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are looking for - Selection Criteria: Essential: A PhD in a relevant discipline such as Applied Statistics, Mathematics, Bioinformatics, and/or Computational Genetics, Data Science. A demonstrated track record
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machine learning conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with strong initiatives Good
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background in landscape ecology, geography or even landscape architecture is helpful, the work is expected to lean heavily on mathematical, statistical and quantitative analysis of the LiDAR data to not only
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(Grade E) or Fellow (Grade F) at a level commensurate with experience. Applicants for Fellow must possess a relevant PhD or equivalent qualification in a relevant field of study and be a nationally
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sciences and non-university research institutes in Germany. Who can apply? Highly qualified Chinese scientists and researchers in the fields of natural sciences, mathematics, engineering, agriculture and
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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming
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We are looking for a candidate who has completed or is near to completing a PhD in biochemistry, molecular biology, cell biology or related areas and has experience of working in the cancer signalling
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: A PhD in Physics, Computer Science, Mathematics, Machine Learning or relevant fields. Strong publication record in top conferences/journals, such as Nature Physics, Nature Communications, PRL, T-PAMI
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PhD Research Fellow in Borehole Geophysics - Center for Research-based Innovation (DigiWells) Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close
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design and planning, product development, industrial and systems engineering and operational research, AI and data-driven modelling, mathematical modelling, simulation and design science methodology. You