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personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection
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into automated cell culture processes and assist with sensing to facilitate the generation, of long-term cultures and analyses of patient-derived or iPSC-derived organoids Your profile: We seek a highly motivated
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Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing
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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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Germany. Application Procedure Application deadline The DAAD application must be made online via the DAAD Portal between 7th November to 9th December. Application documents The requirements
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Kerstin Schweigert (jobs(at)ipk-gatersleben.de ). Please indicate the reference number 60/09/25 in your correspondence. Foreign qualifications must carry out an equivalence test in Germany, which is subject
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to include a two page summary of their dissertation project as well as a detailed evaluation written by their supervisor. If you have any questions regarding the application procedure, please, contact Daniela
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resonance. Your tasks are among others: Operation of a millikelvin scanning probe microscope Investigation of molecular and atomic spin/qubit systems on surfaces using spectroscopic techniques Fabrication and
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Contract:TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin interaction analysis and single-cell approaches
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research outcomes to project stakeholders and the research community at meetings, conferences and by publishing in high-impact journals This position is within the Quantum Information Processing research