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employed as post-docs, i.e. obtaining a PhD degree in the year of employment in the project or in the period of 7 years prior to 1 January of the year of employment in the project and other documents
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to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status. Minimum Qualifications • PhD in biomedical engineering or a related engineering
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collaboration with PIs Disseminate findings through publications and conferences, as relevant to research Ideally you will demonstrate: PhD in Computer Science, Bioinformatics, Statistics, or Genomics Experience
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optimization algorithms for complex trial design spaces. Required qualifications: A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science
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capabilities and oral communications skills. Ability to work in a team, as well as an ability to work independently. Minimum Qualifications PhD or professional doctorate with prior research training/experience
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, interpretation of results and development of research questions. You will collaborate closely with students, PhD students, postdocs and faculty members within the research group and with colleagues at the Centre
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
parameterizations. Job Requirements REQUIRED: PhD in geosciences, statistics, physics, engineering, or a related field at the time of the appointment; PREFERRED: Strong background in fluid dynamics, turbulence, and
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University continuous improvement initiatives. 10. Apply safety-related knowledge, skills, and practices to everyday work. Required Education, Certifications, Licensures • PhD in Metallurgical Engineering
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mental wellbeing among staff members. Please visit our website to find out more about the Department. About you You will hold a PhD/DPhil (or be near completion) in Bioinformatics, Statistics, Mathematics
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. Your work tasks This Postdoc sits at the intersection of mathematics, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health