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to Submit Application Materials: Email application materials to PI Laren Becker, at [email protected](link sends e-mail) Does this position pay above the required minimum?: No. The expected base pay for
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to the group’s open-source software, and participation in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, computer science
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consist of the PI, one postdoc and one PhD. Read more about the project here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2025/mathias
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, air quality, and health. We seek a PhD or Postdoc to work on either of the two topics: Autonomous reaction discovery: combining quantum chemistry, machine learning, and automation to chart oxidation
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learning as well as a strong background in scientific programming (in languages like Julia, Python, Fortran or C/C++). The applicant must hold a PhD in physical oceanography, atmospheric sciences, computer
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, preferably in food chemistry; knowledge of e-learning methods is desirable. Mentorship: Experience in supervising doctoral and Master's students. Language Skills: Excellent English skills (C1 level
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: Experimental research - 90% Writing papers - 10% Required Qualifications: Skills in molecular biology experiments, cloning, and gene editing, ribosome purification Qualifications Required Qualifications: PhD
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of machine learning and advanced molecular dynamics techniques for molecular simulations and to study Nucleic acids structures and their interactions. For more information, please visit https://nyuad.nyu.edu
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missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the channels
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toxicity (25%) 5. Biophysical analysis of the alpha-synuclein fibrils amplified from brain fractions, including cryo-EM analysis (25%) Qualifications Required Qualifications: PhD in Neuroscience or related