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Field
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potential, as well as on the ability to initiate or contribute to collaborative proposals and to secure competitive research funding. You hold a PhD in physics and demonstrate an excellent scientific track
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translational applications, such as AI-guided mRNA therapies or precision modeling of neurodevelopmental disorders. This role offers the opportunity to lead independent projects, mentor students, secure external
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researcher who is excited by fundamental research, method development, and interdisciplinary science at the chemistry–biology interface. Next to that you meet the following criteria: A PhD in Chemical Biology
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needs. As a part of this team, you will : Develop, build and test equipment and perform molten salt separations which support the development of a secure fuel supply for MSRs and nuclear fuel cycle
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or soon-to-be-completed PhD (typically completed within the last 0-5 years) in chemistry, chemical engineering or materials science (those with other degrees but have similar skills to those listed will be
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UnitedKingdomTime) Position Description: Apply Position Description About Sandia: Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with
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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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take up the position by November 2026 the latest. We offer: A competitive salary for a 36-month postdoctoral fellowship, including social security contributions, taxes, and compulsory deductions under
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and able to manage your priorities. 🎓 We are looking for people with a PhD in machine learning, deep learning, data science, computer science, obtained less than 3 years before the date of hire, with a
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criteria: A PhD in Chemical Biology, Bioorganic Chemistry, Synthetic Chemistry, or related field. Expertise in organic synthsis, compound characterization, biochemical assays, and cell-based assays. Prior