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and proposal preparation. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, networking, or related fields relevant
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. Qualifications: You should have (or be close to achieving) a PhD degree. Background within computational methods for inverse problems, ideally tomography. Experience with development of numerical implementations
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the emergent properties of the twisted membranes. Analyzing and interpreting the results obtained from the microscope. Formal qualifications PhD In Physics, Materials Science, Chemistry, Electrical Engineering
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, you will focus on delivery methods for genome and epigenome editing tools. This will require expertise in molecular and cellular biology, molecular engineering, genetic manipulation, and bioinformatics
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Qualifications PhD in Computer Science, Software Engineering, FinTech Strong programming skills in Solidity and other smart contract languages Experience with blockchain platforms and development tools Proven
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equipped with world-leading full-field imaging instruments, including ultrahigh-speed imaging. The group also develops end-to-end scientific software, data analysis, and interpretation methods
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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint
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goals. Responsibilities include: Developing software infrastructure to conduct online experiments Conducting large-scale online behavioral experiments with human participants Developing formal cognitive
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. Qualifications requirements The applicant is required to have a PhD degree in Computer Science, Software Engineering, or related fields. The applicant must have completed the degree no more than three years before
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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint