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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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projects on metabolic diseases * Develop and apply machine learning models for biomarker discovery, patient stratification, and prediction of disease trajectories * Collaborate with clinicians
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and ageing Design and perform molecular studies on iPSC-derived skeletal muscle cells and aged mouse models Independently analyze data and develop innovative experiments Support the preparation
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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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• Training courses in cutting-edge technologies (OMICS technologies, innovative human infectious disease models (e.g. organoids, iPSC), bioinformatics, AI) and soft skills required for a successful career
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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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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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, 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