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Field
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experience in machine learning and parallel computing Good organisational skills and ability to work both independently and collaboratively Experience with deep learning frameworks, such as Tensorflow
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for
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their research if ranked third or higher. In the interest of equitable distribution of scholarships, other scholarships or prizes received from the University by students are considered. Conditions
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development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The AI, Learning and Intelligent Systems (ALIS) Group in the NLR Computational
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or continuing course
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questions. · Payroll & Funding Coordination o Manage assigned payroll tracking and complete monthly and biweekly HCM (payroll distribution) entries. o Develop and maintain Smartsheet dashboards
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The International Max Planck Research School on Trustworthy Computing (IMPRS-TRUST) is a graduate program jointly run by the Max Planck Institute for Informatics (MPI-INF), the Max Planck Institute
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on the quality of their application. In the interest of equitable distribution of scholarships, other scholarships or prizes received from the University by candidates are considered. Conditions Recipients must be
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the selection panel based on the quality of their application and entry score. In the interests of equitable distribution of scholarships, other scholarships or prizes from the University of Melbourne received by