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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis .
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis .
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: Apply online via: https://mgician.eu Please include: CV, motivation letter, and academic transcripts Contact: For questions regarding the administrative aspects of the recruitment process, please contact
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. The time limitation of the contract is based on the Wissenschaftszeitvertragsgesetz (WissZeitVG). ISAS collects and processes the personal data of its applicants in accordance with European and German legal
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regarding the formal application process or the selection procedure, please contact Ms. Jeannette Meurer from the HR Department (meurer@bnitm.de ). For all other questions, please contact Prof. Thomas Otto
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with responsible decision-making for the completion of tasks Diligence and conscientiousness to ensure and improve the quality of work processes Ability to cooperate and work in a team to achieve a joint
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. The time limitation of the contract is based on the Wissenschaftszeitvertragsgesetz (WissZeitVG). ISAS collects and processes the personal data of its applicants in accordance with European and German legal
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responsible for Planning and independent execution of experiments Establishment of new methods and sample preparation strategies Preparation of human and murine samples Coordination of co-operation projects