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a plus. Preferred Schedule: Between 7am to 5pm Position Requirements: Specifications Minimum Required Education: PhD in a scientific field or MD Preferred Education
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early educational classrooms. Applicants should have a PhD or foreign equivalent in a field such as development psychology, speech and hearing sciences, or neuroscience. Strong oral and written
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term objectives and long-term career goals and supports trainees to lean into their strengths as well as to overcome obstacles that they or others have placed in their way. PhD (or other foreign
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date, all elements of the PhD or foreign equivalent should be completed and the degree conferred in biological anthropology, or similar field. Please submit the following documents via Interfolio: Cover
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qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Required Qualifications ? PhD in Biology, Biophysics, or foreign equivalentat by the start of employment. ? Experience in
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experience. Ō pūmanawa | About you You will possess a PhD in Mycology, with 3 to 5 years of postdoctoral research experience. You bring demonstrated expertise in fungal taxonomy and biodiversity research
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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journals and leading conferences and actively contribute to funding applications to support and expand the research area. What we expect The applicant must hold a doctoral degree (PhD) in electronics
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activities. Your Profile: Master and PhD degree in astronomy, physics, computer science or equivalent fields of study. Proven experience in N-body simulations and the comparison of simulation and observation
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to consider the Ericksen—Leslie model with stochastic fluctuations and investigate it in terms of existence of solutions and their approximation, the associated large deviation principle and the simulation