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the optimization of High- Throughput RNASeq capabilties. The successful candidate will help design and execute next- generation RNASeq experiments with the goal of significantly reducing the cost and increasing
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for noninvasive monitoring and control of the nervous system, with the goal of accelerating therapeutic discoveries. This position is supported by a recently awarded BrightFocus Foundation grant and will focus
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for their expression in plant colonizing bacteria and integrating them into the chromosomes of appropriate chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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profile, then don’t hesitate to apply. Responsibilities and qualifications Tasks and responsibility include optimization of safe microorganisms to produce selected essential amino acids genetic and
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or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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interventions, support policy making and optimize control strategies. Our approach is highly multidisciplinary, looking at infectious diseases through multiple perspectives, multiple scales and multiple data
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optimization. We are particularly interested in a) developing novel AI methods for analyzing pathology data, b) multimodal data fusion strategies, c) development of computational methods for rare diseases and
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applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental
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microstructural engineering will focus on in-situ optimization of the local distribution of grain sizes, crystallographic orientations, and stresses by the novel possibility of varying the laser beam shape and spot