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development and wellness programs Data allowance and home office equipment reimbursements Relocation assistance (if eligible) Tuition reimbursement program (if eligible) Our Employee Benefits TTI employees can
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disciplines human identification and bite mark analysis. The plan is to extend beyond our research group’s current results and explore quantitative 3D matching of tooth surfaces from related individuals, and
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, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance
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design of hyperstable miniprotein binders using advanced computational platforms. The work integrates protein modeling, in silico affinity optimization, and mechanistic studies aimed at modulating key
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Financial Economics and Decentralised Finance. Reporting to the Director of the OMI, the post-holder will help foster a vibrant and collaborative research environment within the OMI. This will involve leading
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that postdocs at MCW, with the assistance of their supervisor, will: Transition to career independence through the development of professional skills that enable the postdoc to actively pursue a career of his/her
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members instruct approximately 5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can
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postdoctoral associate with expertise in computational biology and/or bioinformatics to join our interdisciplinary group studying the functional genomics of tandem repeat expansions and related structural
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: Investigation of Multistable Dissipative Metamaterials. Carry out a theoretical, computational and experimental investigation of Multistable Dissipative Metamaterials. Map the design space with respect
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science