955 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" uni jobs at Nature Careers
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team member in the CBSC focused on ligand discovery, joining a team of dedicated computational researchers with diverse expertise ranging from structural bioinformatics to machine learning and AI. Your
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Renewal BC (FRBC) and by the facilities and equipment of the Quesnel River Research Centre (QRRC). The QRRC (https://www.unbc.ca/quesnel-river-research-centre) is a freshwater-focused field station based in
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imaging resources (e.g., MRI, fMRI, DTI, MRS, fNIRS, PET). Learn more about the Department at https://www.stjude.org/research/departments/psychology.html . Candidates must have a doctoral degree in an
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tools like ViennaRNA and NUPACK) and MD simulations (e.g., with GROMACS). Strong skills in statistical data analysis and machine learning in Python and R are expected, along with experience working in
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. We are also committed to providing training and development opportunities including support towards role-related qualifications. Further information about the benefits available can be found at http
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ambitious, and the opportunity for collaboration with students as well as colleagues is real and constant. For more information on the department, see: https://www.swarthmore.edu/chemistry-biochemistry
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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the development of the faculty's newly created research cluster “Biotic Interactions in the Anthropocene” (https://go.ur.de/biotic-interactions) are desirable. It is expected that the professorship will strengthen
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science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more
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Job Description Join the Zhou lab ProteinPaint team (https://proteinpaint.stjude.org/team/) to contribute to the development of an open-source platform for biomedical data visualization, analysis