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cardiometabolic research. About You Applicants should hold a PhD (or be close to completion) in cardiovascular physiology, experimental cardiology, biomedical science, metabolism, or a related discipline. The
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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. The reusable tools generated by the postholder will be of direct value to the wider neurodegeneration research community. About You You will hold, or be close to completing, a PhD in bioinformatics
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quantitative microscopy. Ideal Candidate Qualifications: Candidates must have recently obtained (or will obtain before starting) a PhD from a biomedical research background. Experience in one or more areas of
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researchers who obtained their doctoral degree within the last three years and have acquired at least one year of research experience outside Europe, either during or after their PhD. The position offers
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through top publications and conferences. Shaping the future of AI for science across academia, industry, and entrepreneurship. What you'll bring Essential PhD in Statistical Genetics, Computational Biology
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: A PhD degree, or a PhD nearing completion, in environmental, civil, chemical, mechanical, or architectural engineering, aerosol science, atmospheric science, exposure science, or another closely
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. Qualifications PhD in a related field A well-qualified candidate may also possess: Doctoral degree in Chemistry or a closely related field. Familiarity with appropriate laboratory and/or technical equipment
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Science Lab (CCL), an interdisciplinary research group under the direction of Univ.-Prof. Dr. Annie Waldherr and Univ.-Prof. Hajo Boomgaarden, PhD at the Department of Communication, a subunit of the