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metrics (efficiency, bandwidth, angular response, and robustness). In parallel, the candidate will gain in-depth knowledge of analytical modeling techniques and adjoint-based optimization methods for high
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, from viruses to vertebrates. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; Apply now Research projects Research projects Evolution of ecological and
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cavity chemistry. This effort is intended to be innovative, nationally competitive, and aligned with emerging federal priorities in quantum science and technology. In parallel, the incumbent will serve as
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sciences Medical sciences Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 20 Apr 2026 - 01:36 (Europe/Brussels) Country Belgium Type of
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. Requirements: Computer Systems Engineer Level 2: Bachelor's degree and 5 years of related experience, or 3 years and a Master's degree, or three years and a PhD degree, or an equivalent combination of education
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» Biochemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Mar 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours
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and place-based linkage. ● Experience working with large, complex datasets that may require novel data structures, indexing strategies, or parallelized workflows. ● Ability to work independently with
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computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based approaches to other
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Eindhoven, and the section for Engineering Design and Product Development of DTU jointly invite applications for a 4-year EuroTech PhD project. Information The aim of this exciting, creative, critical and
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emerging from this work will be correlated on a regular basis with parallel activities on materials synthesis and spectroscopic characterization. The goal of this project is to understand and predict