262 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" Postdoctoral positions in Germany
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Field
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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your full potential: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your talents Contact: Prof. Dr
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Additional benefits such as sports programs, job ticket, company events, cafeteria, and emergency childcare For inquiries, please contact: Prof. Dr. rer. nat. Timo Strünker T 0251 83-58238 Apply now via our
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motivated applicant to join the working group of Prof. Dr. Axel Janke. The successful candidate will be closely involved in gene flow, evolutionary, population or phylogenetics processes to study speciation
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, probability, and statistical signal processing Familiarity with antenna array signal processing techniques Sound understanding of optimization methods and algorithms Proficiency in Python programming Proven
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, capable, and professionally competent. Contact and application If you have any questions about the advertised position, please contact the BioSysteM cluster spokesperson Prof. Dr. F.C. Simmel at simmel
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is expected. Background Information: Nat. Chem. 2015, 7, 105; Chem. Eur. J. 2019, 25, 4590; Angew. Chem. Int. Ed. 2019, 58, 418; Nanoscale 2021, 13, 19884. www.sengegroup.eu https://www.ias.tum.de
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, experience with Linux shell-based bioinformatics tools, and basic programming skills (e.g. Python) are essential. Experience with metabolome analyses and natural product biosyntheses will be a plus. The DSMZ
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similar is required. • Hands-on mentality, independent and diligent operation is welcomed. • Excellent at working independently, taking initiatives, responsibilities, able to plan and carry out multi-tasks
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of research achievements and publications in top-ranked journals. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Programming experience Python with good software