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Field
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Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also
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development, computational tool implementation, and validation with experimental partners. The PhD positions are initially limited to three years, the Postdoc positions to one year with option for extension
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Excellent communication skills in English (written and spoken), as it is the working language in the institute. The appointment of PhD candidate will be for 3 years (aligned with MPI Sus-Mat’s doctoral
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) or enrolled in a PhD (or equivalent international degree) program Additional qualifications (required at time of start) A PhD or equivalent international degree and record of published science. No more than 3
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
(bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon
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Physics Complex Systems Computer Simulation (more...) Theoretical Physics / Complex systems including applications to biology Fluid Mechanics Appl Deadline: 2025/09/30 11:59PM (posted 2025/07/22
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development. Basic Qualifications: A PhD in computer science/engineering, electrical engineering, data science or a related field completed within the last five years. Experience of AI and efficient computing
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A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the
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#37507 Job Summary: A full-time POSTDOCTORAL POSITION for a PhD, MD, or MD/PhD is available in the laboratory of Kristi Kuhn, MD, PhD, Professor in the Division of Rheumatology at the University
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survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic epidemiology and