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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
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) Positions PhD Positions Country Germany Application Deadline 19 Mar 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Part-time Hours Per Week 26,26 Offer Starting Date 1 Apr 2025 Is the job
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response theory, causal inference in non-experimental designs, psychometrics, randomized controlled field trials, longitudinal and multilevel modelling, machine learning methods, artificial intelligence
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Information on sponsorship for alumni in Germany Fellowship calculator (German only) General conditions and family allowances In addition to the fellowship amount, you will also receive personal support
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following your first academic degree (Bachelor's or equivalent) in order to perform military or alternative service, to care for close relatives, due to long-term illness or, for example, to care for children
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Country Germany Application Deadline 6 Apr 2025 - 23:59 (Europe/Berlin) Type of Contract Permanent Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not
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? Periods in which you interrupted your professional activities or your further studies following your first academic degree (Bachelor's or equivalent) in order to perform military or alternative service
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, please specify all periods in which you partially or completely interrupted your academic activities after finishing your doctorate in order to perform military or alternative service, to care for close
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activities after finishing your doctorate in order to perform military or alternative service, to care for close relatives, due to long-term illness, or, for example, to care for children or due to the closure
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or the social sciences and you produced an outstanding doctoral thesis or an equivalent portfolio of publications in one of these disciplines. You are fully proficient in the English language and willing to learn