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on theoretical and experimental subatomic physics, mathematical and high-energy physics, plasma and fusion physics, as well as nuclear physics. This diversity of research topics allows us to connect fundamental
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and statistical analysis. Requirements PhD degree in population genomics, bioinformatics, applied statistics or a related area, or a foreign degree equivalent to a PhD degree in population genomics
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electrical engineering, computer science, applied mathematics, or a closely related field, awarded no more than three years prior to the application deadline* Knowledge of nonlinear optical fiber propagation
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analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination
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the use of crystallographic software and data processing pipelines Experience working with computation clusters and managing large datasets Proven ability to develop, maintain, and optimize scientific
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or physiological indicators of tree vitality (e.g., leaf traits, spectral indices, water relations). The assessment will put particular emphasis on (1) your scientific proficiency in technology and engineering
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utilize induced pluripotent stem cells (iPSCs) to derive proximal and/or distal airway progenitor cells and develop custom microfluidic devices for longer term culture with live bacteria. The use of iPSCs
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research on theoretical and experimental subatomic physics, mathematical and high-energy physics, plasma and fusion physics, as well as nuclear physics. This diversity of research topics allows us to connect