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in high content microscopy and image analysis programs. Familiarity preparing material for single-cell sequencing, comfort working with large data sets. Working knowledge of statistics, proficiency
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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Associate in Biochemistry to join an ambitious research programme focused on the development of new treatments for tuberculosis. This position forms part of the recently funded Oxford TB Grand Challenge
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Associate to join a multidisciplinary programme focused on tackling antimicrobial resistance. The position is based at the INEOS Oxford Institute for AMR Research and sits within the Schofield Group, under
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of undergraduate and graduate degrees, including doctoral programs. As a member of the Texas A&M University System, TAMU-CC benefits from a range of resources, increased visibility and influence, and opportunities
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, to deliver the final stages of this multi‑year research programme and support the production of high‑quality scientific outputs. About you- You will bring strong data analysis skills, including
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of the faculty's degree programs. Comprising a wide range of scientific areas, the department is a strong partner in interdisciplinary initiatives, especially in the Novo Nordisk Foundation CO2 Research Center
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
for Galactic cartography within the framework of the Milky Way Atlas (MW-Atlas) project, an ERC-funded research program. The project is jointly led by Torsten Enßlin (MPA, Garching), Philipp Mertsch (RWTH Aachen
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outline (uio.no), stating research questions and theoretical and methodological approaches that will further the goals of the project. The project description must present a feasible progress plan. It is
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. Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries. Research Excellence: Proven track record