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Minimum Qualifications: PhD in Geology, Geography, Civil Engineering, Computer Science, Mathematics, Physics or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Theoretical or Computational Chemistry or related area
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. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Experimental Photochemistry or related area. Preferred Knowledge, Skills, and Abilities: Experience in the field
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Master’s programme in the field of Library and Information Sciences. Additional Information Benefits Monthly maintenance allowance: The fellowship’s monthly allowance is set to €1040,98; the payment will be
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in a social science or other relevant area Have obtained a PhD in a relevant subject. Have substantial post PhD experience Have significant experience in managing and undertaking research activities in
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) holding a MSc degree in Computer Science or similar areas, and with a suitable scientific and professional curriculum may apply. The candidate(s) must be enrolled in a PhD program - art. 6, c) https
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Environment at the Norwegian College of Fishery Science (NCFS), with an appointment for a duration of four years. The position is for a period of four years. The nominal length of the PhD programme is three
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, Chemistry and Biochemistry Department, under the scientific supervision of Professor Susana Soares, Ricardo Dias (PhD) and Elsa Brandão (PhD). Duration: The fellowships will have a duration of 12 months
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, ethical research standards, and applicable federal and state regulations ELIGIBILITY REQUIREMENTS Individuals with a PhD degree in computational biology, bioinformatics, data science or a related field are