939 computational-physics-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Nature Careers
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/or recommendation letters) Ensure deadlines for grant application submissions and progress reports are met Place lab orders Process Investigator and lab member travel and other reimbursements Serve as
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interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate
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with clinical PACS systems and DICOM data handling Knowledge of Python and/or MATLAB, especially in scientific computing and image processing contexts Enthusiastic and motivated team player Good
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including the Faculties of Biology, Psychology, Physics, Chemistry, and Mathematics and Computer Science as well as the local Max Planck Institute for Molecular Biomedicine. To support emerging scholars early
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, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field. * Formal training in Clinical Informatics, Bioinformatics, or a related field * Prior experience with AI in healthcare
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with: Genuine interest in Finance, Economics or Statistics/Econometrics Strong quantitative and computational skills Candidates with a degree in Mathematics, Physics, Computer Science, Engineering or
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, along with strong potential to establish an independent, high-impact research program aligned with the focus areas of Molecular Biology and the MIMS organization. Applicants are expected to have completed
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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semester. This includes teaching at the BSc and MSc levels at the KIT Department of Physics and within the MSc Program of KSOP. Personal qualification A completed doctorate (PhD) in physics, outstanding
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the development and optimization of pre-clinical genome editing strategies to treat hemoglobinopathies and other hematological diseases, process development, and IND-enabling studies (Pharm/Tox). The ideal