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18 Sep 2026 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Materials engineering Engineering » Mechanical engineering Researcher Profile Recognised
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well as to the geometric optimization of the separator, including the swirl generator. Mandatory requirements PhD in mechanical, naval or aerospace engineering, or a related field. Proven experience in numerical simulation
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-of-the-art computational methods to investigate the genetic mechanisms underlying neurodevelopment and neurological disorders by integrating single-cell genomic and multi-omic datasets. You will work as part
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experience : PhD in materials science, polymer engineering, mechanical engineering, or a related field Have experience in materials processing and mechanical characterization. Required technical and
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to investigate the mechanisms that drive the malignant transformation of colorectal adenomas into colorectal cancer. These positions are supported by a recently funded NIH R01. The project addresses an important
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, Computer Science, or a related field. Candidates in ABD status (all but degree) will also be considered. If the applicant graduated within 1 year from a PhD or MD training program, no other experience is required
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internationally recognised research environment. It is essential that you hold, or be close to completing, a PhD/DPhil in computational biology, mathematics, statistics, bioinformatics, oncology or another related
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-pathogen interactions and define mechanisms of lipid flux during intracellular infection. Ideal candidates will have a PhD in microbiology, cell biology, molecular biology, biochemistry, genetics, immunology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Experience Requirements A PhD in Mathematics, Applied Mathematics, Computer Science, Biomedical Engineering, Mechanical Engineering, or a closely related field by the start date. Required Qualifications
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states, tissue organization, and biological programs, and connect these representations to mechanisms of human disease. Your work will sit at the intersection of machine learning, computational biology