793 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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to treatment. We are seeking highly motivated individuals to develop and implement innovative computational approaches for analyzing high throughput genomic and epigenomic data, including but not
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of the following tasks: 1) Laser-based instrumentation design, fiber coupling, and optical characterization. 2) Experimental investigation and computational model simulation of laser-induced bubble dynamics and
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genomics and/or computational analysis of biological datasets; CD4+ T cell biology or adaptive immunity more broadly; immunophenotyping and ex vivo assays on human clinical specimens; MHCII tetramer
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, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment ● Strong oral and written communication skills, and the ability to work effectively with a wide
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the whole scientist. The successful candidate will lead this project while growing toward research independence, supported by an individualized development plan, structured mentorship, and clear milestones
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genomics and/or computational analysis of biological datasets; CD4+ T cell biology or adaptive immunity more broadly; immunophenotyping and ex vivo assays on human clinical specimens; MHCII tetramer
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collaborations with theoretical/computational efforts focused on materials growth. Requirements include: a Ph.D. in Materials Science and Engineering, Nanomaterials, Nanotechnology, or a related field by the time
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Duties: Perform and analyze ReaxFF reactive molecular dynamics simulations on 2D-material growth Connect the results from these simulations to data science methods and Computational Fluid Dynamics Perform
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Job Description Required Qualifications: (as evidenced by an attached resume) * Ph.D. (or foreign equivalent) in marine biology, genomics, computational biology, evolutionary biology, or a closely
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters