61 parallel-and-distributed-computing-phd-"Multiple" Postdoctoral positions at Pennsylvania State University
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focuses are: 1) Investigating the underlying molecular mechanisms by which 3D genome topology controls the hematopoietic transcription program and lineage differentiation in normal and malignant
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to investigate iconicity in spoken language – the idea that the sound of a word may convey its meaning – in both neurotypical people and people with aphasia. The successful candidate will have a PhD in a relevant
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resonance spectroscopy applied to investigate post-translational modifications of intrinsically disordered proteins. The position requires a PhD in chemistry with a focus on spectroscopy applied
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project management. This position requires a PhD in nematology (preferred), forestry, plant pathology, microbiology, microbial ecology, or a related field. Competitive candidates must have significant
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journals and present at academic and professional conferences. Mentor graduate and undergraduate students, including guiding PhD students in their research. Collaborate with faculty and other researchers in
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and build computational interventional models for individuals. Required qualifications: MD or PhD (completed by start of employment) in computer science or behavioral science. A technical background is
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of physics beyond the Standard Model, using analytical and computational approaches. The successful applicant will join Dr. Carlos Blanco's research group with significant academic freedom to pursue
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, self-driven, collaborative, skilled young microscopist with a PhD in materials science, physics, chemistry, or a related field that has a thorough background in aberration-corrected scanning/transmission
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students. The required qualifications are: PhD degree in mathematics, science, engineering, or a related field by the start date. Extensive experience in one or more of the following areas: probabilistic
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Sriperumbudur. Potential research projects include (but are not limited to) developing theory and methods for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows