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the potential for long-term societal impact. Join us in uncovering the biology of aging and shaping the future of healthy longevity. Training and research within the PhD program is interdisciplinary. Lecture
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sector. We are seeking a motivated student with interests in developmental biology and disease modelling. This interdisciplinary project combines both wet bench work and computational work (image analysis
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
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, or biology. Applicants with a strong quantitative (particularly applied statistics) or computer programming background, combined with marine biology, will be favoured. You must be a New Zealand Citizen or
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of Biomedical Engineering, Computer Science, Medicine, Biology, Biochemistry, Pharmacy, and/or similar. A grade point average of above 7.5. PREFERRED: Experience and knowledge in Computational biology and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 6 PhD positions (TV-L E13, 4 years) for the PhD Graduate School WERA on the topic “Phosphorus Recovery
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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, and a commitment to delivering high-quality outcomes. A PhD (or near completion) in Computational Biology, Chemistry, Biochemistry, Pharmacology, or a related field. Experience in molecular modelling