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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R
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computer science, bioinformatics, physics, engineering, computer science, statistics, mathematics) or in health science related fields (e.g. medicine, veterinary medicine, pharmacy, life sciences) is mandatory
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of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria Outstanding Computer Science or Engineering student Knowledge of data
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molecular simulation) and the skills involved in using high-performance computing Continual interaction with an ongoing experimental program Introduction to chemical engineering design principles via flow
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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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environment for PhD candidates as well as an outstanding research-based training programme, preparing students for a career in academia, science management, or industry. Each PhD candidate is affiliated with
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finishing their MD studies, Master of Science, or Diploma (particularly in biology, biochemistry, molecular biology, and biotechnology). The programme in Regenerative Sciences also welcomes engineers
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PhD Scholarship – Feasibility, Acceptability and Utility of a Person-Centred Behaviour Change Program to Slow Cognitive Decline in Older Adults Job No.: 677725 Location: Clayton campus Employment
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. Minimum Qualifications: Ph.D. or equivalent terminal degree, or foreign degree equivalent, from an accredited institution in Chemistry, Physics or Engineering. A minimum of two (2) years postdoctoral
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | about 6 hours ago
(or equivalent) from any relevant field (life sciences, mathematics, physics, computer science, engineering, etc.) to be immersed in a stimulating environment that provides novel technologies to elucidate