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strong publications. Excellent scientific writing ability and good communication skills are essential. Ability to multi-task and work cooperatively with others. Knowledge of scientific programming language
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that complements or builds upon ongoing research directions within the DiRAC Institute. Those with innovative research programs and ideas involving first science with LSST are especially encouraged to apply
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to share knowledge and expertise with students. Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA
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the candidate to share knowledge and expertise with students. Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and
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neuroethology and robotics. This position focuses primarily on the neuroethology aspects of our research program, with particular emphasis on understanding the behavioral and neural mechanisms underlying active
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in relevant academic activities related to the preparation for a career in research or academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD
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United Kingdom Application Deadline 14 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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. Strong programming skills. Familiarity with popular Deep Learning platforms such as PyTorch and TensorFlow. Preferred Qualifications: Expertise in vision transformer or large language model. Expertise in
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, particularly those from backgrounds traditionally underrepresented in STEM. • Interest in developing an academic research program or establishing a professional network within the Cambridge/Boston biotechnology
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extending an offer. - PhD in a cognitive science?related field (psychology, linguistics, neuroscience, or related), conferred by start date. - Experience with MEG/fMRI - Strong programming and statistics