1,169 decision-making "https:" "https:" "https:" "https:" "https:" "https:" research jobs
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to make an additional appointment(s) from this competition following the conclusion of the process. Informal inquiries can be made in confidence to Prof. Liam O’Mahony, APC Microbiome Ireland; Email
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the earth sciences. NCCR Genesis does not aim to provide answers in all fields, but to drive innovative research and achieve decisive progress. Details on NCCR Genesis are available on its website https
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should have: strong expertise in cosmology, general relativity, modified gravity, gravitational physics or relativistic astrophysics; experience with analytical and/or numerical research methods relevant
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candidates will have experience in artificial intelligence, deep learning or decision support applied to RF sensing, wireless communications and signal processing. A strong background in multimodal data
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independent research aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as
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://ore.ucc.ie/ The University, at its discretion, may undertake to make an additional appointment(s) from this competition following the conclusion of the process. Informal inquiries can be made in confidence
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admitted and excluded candidates’ applicants will be notified by email of the final ranking list. Prior Hearing and Deadline for Final Decision: After being notified, candidates have 10 working days
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including full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may undertake to make an additional appointment(s) from
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clear and organized manner. Analyze problems and propose practical solutions. Identify when additional information is needed before making a decision. Break down tasks into steps to complete work more
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assessment methodologies, simulation models, decision-support tools, precision livestock farming approaches, and digital technologies for the analysis of agri-livestock systems and the evaluation of innovative