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; Familiarity with high-power amplifier systems is a plus. Has relevant experience in the areas of Digital Signal Processing (DSP) design and implementation is a plus. Experience in electromagnetic simulation
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monitoring revenue, budget expenditures including transactions, prepare and process journal entries, invoice payments, check requests, cash reimbursements, purchase orders, reconcile department credit cards
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Department of Neurology, Division of Neuromuscular Medicine seeking Assistant Professor to Professor
have an interest in ALS and MDA clinic. Applicants with interest in genetic neuromuscular disease with both research and clinical expertise are of particular interest. https://utah.peopleadmin.com
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neurological diseases, including identifying the genes for SCA2 and SCA13, and as part of collaborative group, the genes for SCA10 and Neurofibromatosis 2. Quicklink for Posting | https://utah.peopleadmin.com
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, or equivalent Ability to work independently throughout the research process, including planning, execution, analysis, and reporting of scientific studies Ability to collaborate and interact with individuals
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 1 day ago
assessment, and valorisation and/or processing of fishery, aquaculture and insect-based products; Proficiency in the Portuguese languages and English; Be able to independently carry out the experimental design
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the aforementioned position addressed to the Rector of SGGW, CV, Copy of the doctoral diploma, List of published or accepted works, Necessary documents confirming that the candidate meets the requirements specified in
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materials science by integrating physics-based simulations with data-driven analysis of cutting-edge synchrotron radiation facility data. By combining experimental data with physical models, we establish
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the key electromagnetic coupling effects between layers and enables fast prediction of their tunable response without relying solely on full-wave simulations. To create efficient adjoint-based optimization