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. Desired Skill Sets A PhD in Engineering, Math, Physics, Computer Science or a related field. Strong programming and computational skills. Experience in AI development, mathematical modeling or data analysis
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following criteria: Have or about to obtain PhD in relevant discipline. Significant research experience and skills relevant to evidence synthesis, paediatrics, infection, epidemiology, or another field
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degree (PhD, MD/PhD, or MD) in computational biology, bioinformatics, biostatistics, cardiovascular biology, epidemiology, or a closely related field Experience with proteomic, metabolomic, or other omic
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permissions. Undertake any other duties as requested by the BEACON co-leads. The ideal candidate will have the following: A PhD or equivalent in health services research or equivalent Experience in qualitative
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satisfactory performance. Expected salary is $70,000/year plus benefits. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology and modeling
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available in the further tabs (e.g. “Application requirements”). Programme Description The Fellowship for Agricultural Science can be granted to MSc and PhD students from all fields of natural science and
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: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Hold or be about to obtain a PhD in a relevant discipline, e.g., psychology
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. Interface with machine learning group on database set up CO2 removal process Job Requirements: PhD in Chemistry/Materials Science/Physics Candidates with strong background in Materials chemistry/Physical
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supervision of students and junior researchers, and engage in School and QUBIC service and outreach activities. You may be a great fit if you: Hold a PhD in statistics, computational biology, quantum computing
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/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines. Experience in project management, research administration