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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 7 days ago
information, visit our website (www.ds.mpg.de/lmp ). Your profile We are looking for excellent, enthusiastic and self-motivated researchers with relevant background and good communication skills to join our
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letter (< 1 page), names and addresses of three referees and be send preferably by e-mail under indication of reference number until July 31th 2025 to Prof. Rayk Behrendt (behrendt@uni-bonn.de). Prof. Dr
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nature of the tasks assigned to them. All information about the Collective Agreement for the Public Service (TVöD-Bund) can be found on the BMI website: https://go.fzj.de/bmi.tvoed The monthly salaries in
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to getting to know you! For questions regarding the position, please contact: Dr. Stefan Jennewein Head of Industrial Biotechnology Department Fraunhofer IME, Aachen E-Mail: stefan.jennewein@ime.fraunhofer.de
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of the Collective Agreement for the Public Service (TVöD-Bund), pay group 13, depending on the applicant’s qualifications and the precise nature of the tasks assigned to them. All information about the Collective
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Service (TVöD-Bund), pay group 13, depending on the applicant’s qualifications and the precise nature of the tasks assigned to them. All information about the Collective Agreement for the Public Service
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& Applikation: Applications should include a concise motivation letter (< 1 page), names and addresses of three referees and be send preferably by e-mail under indication of reference number ST-26004 until July
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for laboratory and field work Strong background in programming and data analysis (preferably Python) Excellent data analysis and publication capabilities Excellent communication skills in English, both written and
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 28 days ago
, the candidate should have extensive knowledge of DDA and DIA proteomic data processing using MaxQuant or similar software packages. Your responsibilities The successful candidate will focus on developing methods
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Heidelberg University and Stanford University, including population health researchers, clinicians, and methodologists. The researcher will lead analyses in large-scale electronic health record data