new phd

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09NOV 2020
News
New PhD student
Mareike Thies joined the Pattern Recognition Lab in November 2020 as a PhD candidate supervised by Prof. Andreas Maier. She will be working on a project aiming at very high-resolution imaging of bones using X-ray microscopy techniques. Mareike’s research interests are CT image reconstruction and motion compensation combining deep learning approaches and traditional algorithms. Previously, […]
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05OCT 2020
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New PhD student
Fabian Wagner received his Master’s degree in Physics from Friedrich-Alexander-Universität Erlangen-Nürnberg. He joined the Pattern Recognition Lab in October 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. His Ph.D. research project focusses on in vivo high-resolution studies of living bone to understand osteoporosis (4-D nanoSCOPE). The project will be carried out […]Fabian Wagner received his Master’s degree in Physics from Friedrich-Alexander-Universität Erlangen-Nürnberg. He joined the Pattern Recognition Lab in October 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. His Ph.D. research project focusses on in vivo high-resolution studies of living bone to understand osteoporosis (4-D nanoSCOPE). The project will be carried out […]
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27AUG 2020
News
New PhD student
Aleksandra Thamm received her Master’s degree in Electronic and Mechatronic Systems and specialized her study in Automation Technology at Technische Hochschule in Nuremberg. She joined the Pattern Recognition Lab in August 2020 as a Ph.D. student under the supervision of Prof. Andreas Maier. Her Ph.D. research project is focused on the wear prediction of machine […]
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10AUG 2020
News
New PhD student
Frauke Wilm received her Master’s degree in Medical Engineering, branch of Medical Imaging and Data Processing, from Friedrich-Alexander-University Erlangen-Nürnberg. She joined the Pattern Recognition Lab in August 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. Her Ph.D. research project focusses on providing solutions and overcoming limitations to enable AI/deep learning based […]Frauke Wilm received her Master’s degree in Medical Engineering, branch of Medical Imaging and Data Processing, from Friedrich-Alexander-University Erlangen-Nürnberg. She joined the Pattern Recognition Lab in August 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. Her Ph.D. research project focusses on providing solutions and overcoming limitations to enable AI/deep learning based […]
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03AUG 2020
News
New PhD student
Seyed Mohammad Jafari received his master’s degree in Communication Multimedia Engineering (CME) from Electrical Engineering Department at Friedrich-Alexander-Universität Erlangen-Nürnberg. He joined the Pattern Recognition Lab in June 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. He is also a Siemens Healthineers employee since April 2019. His focus will be on Deep […]Seyed Mohammad Jafari received his master’s degree in Communication Multimedia Engineering (CME) from Electrical Engineering Department at Friedrich-Alexander-Universität Erlangen-Nürnberg. He joined the Pattern Recognition Lab in June 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. He is also a Siemens Healthineers employee since April 2019. His focus will be on Deep […]
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01AUG 2020
News
New PhD student
Lukas Folle received his Master’s degree in Medical Engineering, branch of Medical Image and Data Processing, from Friedrich-Alexander-Universität Erlangen-Nürnberg. He joined the Pattern Recognition Lab in August 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. His Ph.D. research project focuses on the Molecular Assessment of Signature ChArakterizing the Remission of Arthritis […]Lukas Folle received his Master’s degree in Medical Engineering, branch of Medical Image and Data Processing, from Friedrich-Alexander-Universität Erlangen-Nürnberg. He joined the Pattern Recognition Lab in August 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. His Ph.D. research project focuses on the Molecular Assessment of Signature ChArakterizing the Remission of Arthritis […]
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