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Field
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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components, including requirements for the proposed research plan, visit https://orise.orau.gov/marine-energy-research-program . Point of Contact Alexa Eligibility Requirements Citizenship: LPR or U.S. Citizen
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complete, sign, and upload the required Authorization of Information Release to your application. Reference requirements 3-5 required (contact information only) Apply link: https://aprecruit.ucmerced.edu
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) Apply link: https://aprecruit.ucmerced.edu/JPF02033 Help contact: soe-adminopservices@ucmerced.edu About UC Merced As a condition of employment, the finalist will be required to disclose if
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travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding
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, genetic manipulation, and biochemical approaches to study cytoskeletal remodeling during development. The successful candidate will contribute to ongoing NIH-funded projects, while also having
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facilities, and opportunities for cross-laboratory projects, career development, and national collaborations through the ABA, SHOCK Society, CNTR, ABuRN, and related networks. Certificates/Credentials/Licenses
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. The position will be part of IARC’s partnership with the Alaska Native Tribal Health Consortium (ANTHC), the largest tribal health organization in the U.S., under a NOAA-funded resilience and adaptation
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relevant field, with expertise in statistical and analytical methods in genomics, ecology and evolution. The position is for one year with the possibility of renewal for additional years based on performance