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Field
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, design, and implement research protocols Develop new computational approaches and methods as appropriate Collect, prepare, analyze, and maintain a database of research data Perform data mining analysis
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experience in: Design of integrated photonic devices Linear and nonlinear photonic device testing Finite element analysis (FEA) Micro- and nano-fabrication Knowledge in quantum optics/physics is a strong plus
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transducers Benchtop characterization of optical and ultrasonic systems Data analysis A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
science, physics, or a related field Strong interest in the functional organization of the medial temporal lobe, particularly the perirhinal cortex Good knowledge of multivariate fMRI analysis approaches such as
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Position Description The Skinnider Lab at Princeton University aims to recruit a postdoctoral fellow or more senior research position to work on projects related to computational analysis of mass
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Familiarity with performance modeling, analysis and optimization for heterogeneous architectures. Experience with developing code for: molecular dynamics, computational fluid dynamics, or quantum chemistry
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computational biology or biological data analysis. Strong candidates may come from protein-focused, cell-state-focused, or multimodal biological modeling backgrounds and will have expertise in one or more of the
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measurements (e.g., release kinetics, seed vigor) – 20% Data analysis, interpretation, and manuscript/report preparation – 15% Coordination of research activities and mentoring of undergraduate assistants – 10
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qubit engineering to quantum algorithmic analysis to applications across the physical sciences (condensed-matter or high energy physics, data science). You will Interpret, report, and present research
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are focused on Systems Biology, Epigenetic Gene Regulation, Single-Cell Genomics and Cancer Biology. Responsibilities for this position include data analysis, method development, scholarly activities and other