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PRIMARY DETAIL - Salary Package: $109,272 – $117,108 per annum ((Level A.6–A.8, PhD Awarded Rate), plus 17% employer's superannuation and annual leave loading. - Appointment Type: Full-time, fixed
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Massachusetts Institute of Technology, Laboratory for Nuclear Science (LNS) Position ID: MIT-Laboratory for Nuclear Science (LNS)-RONALD2025 [#31339] Position Title: Position Type: Postdoctoral
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contribute to behavior and disease. The Ideal Candidate will have: A PhD in neuroscience or related discipline Prior experience in studying neural circuits Expertise with at least some of the following
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Neuroimaging, MRC BNDU, and the Oxford Health NIHR BRC. About You You will hold a PhD in biomedical engineering, neuroscience, or a related field, and have experience in the development of technological systems
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, number theory, additive combinatorics Nathan Linial Combinatorics and theoretical computer science Cy Maor Mathematics of materials science, elasticity, calculus of variations Eran Nevo Combinatorics
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The Computer Science Department invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research and a strong commitment to
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, molecular biology, biochemistry, physics, computer science, and genetics. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
evaluation item scored up to a maximum of 20points.Academic requirements: PhD in Chemical Sciences, sub-area of Organic Chemistry, as the minimum academicqualification. Substitution of this qualification level
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. Assist other lab/community members, as needed. This position is not eligible for H-1B visa sponsorship Qualifications Required Qualifications: PhD in Environmental Engineering, Chemistry, Chemical
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. About You You will have, or be close to completion of a PhD/DPhil in Statistics, Machine Learning, Data Science, or a related quantitative discipline. You will demonstrate strong specialist knowledge in