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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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novel biomarkers by integrating proteomics, metabolomics, and genomics / transcriptomics data with machine learning techniques. The position is to be filled starting November 1, 2025, either full-time or
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–policy interface for municipal biodiversity conservation and climate adaptation with nature-based solutions Processing and evaluation of remote sensing data, including methods of computer vision
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transfer desirable good computer skills (including MS Office) good written and spoken English skills (at least B2) knowledge of German is an advantage, but not obligatory Please send your application
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 2 days ago
who are eager to learn and grow with us. Compensation and benefits are in accordance with the Collective Agreement for the Civil Service (TVöD-Bund). The Max Planck Society is committed to increase
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schemes a secure job flexible working hours and childcare support the possibility of mobile working an idyllic green campus, which is easily accessible by bicycle, public transport or car free use
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activities after completing 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
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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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well as to leading HPS and STS centers in Germany and around the world. The researcher taking on this position will be required to teach 5 hours per week, in accordance with postdoctoral workloads across Germany. The
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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