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Field
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science, public policy, and administration. Candidates must have skills in qualitative and/or quantitative research methods. Formal Requirements A master’s degree in the relevant field with strong academic
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pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally analytical, simulation-based, ethnographic
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for publication. • To contribute to the LMB’s mission in the public engagement of science, and the translation of research findings into improvements in health care. • To assist in the training of PhD
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and committed undergraduates and postgraduates. The successful applicant for this position will have a PhD, formal pedagogical training, and recent experience in delivering outstanding University
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PhD. Some experience teaching a diverse group of students at postgraduate level is also essential. Your role will be to deliver teaching to Birkbeck students, in order to enable them to complete
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interested in behavioral aspects pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally
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contact Prof. Ralf Seppelt, Your profile You'll be able to demonstrate experiences in management environmental data in different projects, and meet the following qualifications: PhD in Data Science
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innovative application and development of partial differential equation (PDE) techniques, seamlessly integrated with statistical methods. This robust combination drives substantial advancements in optimization
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technical skills who are interested in applying AI methods to urban challenges and are considering pursuing a PhD in the near future. Note: The job is situated in Ann Arbor and daily on-campus work is
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are seeking to appoint an internationally highly visible researcher engaged in the field of Physical Chemistry of Molecular Systems with a focus on Experimental Method Development. The scientific activities