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/materials science, AI/ML, and computational modelling (DFT, MD, etc.) Good publication record Good written and verbal communication skills Proficiency in programming We regret that only shortlisted candidates
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Requirements: Candidates should have a PhD, and/ or MD, or equivalent in any relevant field of life sciences with a demonstrated record of excellent problem-solving skills. Self-motivated and well-organized with
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computational materials science techniques (DFT, MD, machine learning force field modelling) with data-driven approaches. Work with team to design and implement high-throughput experimental workflows for rapid
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to flow/scaled flow processes. Design and synthesize green solvents (e.g., deep eutectic solvents) for efficient biomass component extraction. Collaborate on the development of hybrid physics-based/data
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. Our multi-disciplinary team has developed the CADENCE D-PHA (Digital Personal Health Assistant), a multi-component mobile health application designed to improve medication adherence. The app aims
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. Closing Date Closing date for advertisements will be set to 14 calendar days from date of posting. Hiring Institution: NIE
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be notified. Closing Date Closing date for advertisements will be set to 14 calendar days from date of posting. Hiring Institution: NIE
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implementations in IC/SoC design, e.g., post-quantum primitives and hardware implementations, TEE/RoT. Track record of research publications in top-tier venues is strongly preferred. Strong analytical and problem
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Physics or a relevant discipline from a well-established university or institution The candidate should also have at least 4 years of successful post-doctoral experiences in laser cooling of atoms or
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for advertisements will be set to 14 calendar days from date of posting. Hiring Institution: NIE