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strengthen your application: Hands-on experience with on-wafer measurements such as S-parameters, pulsed I/V, or load-pull Experience with RF power amplifier circuit design What you will do Perform advanced
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Familiarity with optimization algorithms and design of experiments methodologies Experience with high-performance computing environments Track record of publications in peer-reviewed journals Previous
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, particularly head/skull injury mechanics or impact biomechanics Knowledge of material characterization techniques and experimental mechanics Familiarity with optimization algorithms and design of experiments
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description The Internet is enabled by a network of silica fibers with a step-index profile. Since the invention of the optical fiber 50 years ago, its design has not been radically changed. During the last 10
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exists for researchers to design and improve animal tests. These limitations hinder the development of optimal experiments and incur cruel animal suffering and killing.The position is two years and you
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sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models that unlock
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silica fibers with a step-index profile. Since the invention of the optical fiber 50 years ago, its design has not been radically changed. During the last 10 years, it has been discovered that a new class
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the opportunity of further development. You will be responsible for designing, planning and carrying out experiments independently, including development of project ideas. Supervision of graduate or postgraduate
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. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
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substantial experience of in vitro work with primary human immune cells and multi-colour flow cytometry, including panel design, the development of gating strategies, and statistical analysis. The applicant