188 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"Aston-University" Postdoctoral positions in Germany
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(typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming
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—for bacterial control and therapeutic application. Together, we identify functional prophage genes, develop genetic tools, and test engineered phages in infection models. Your tasks Plan and perform in vitro and
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
this pipeline to develop an innovative research plan that harnesses genetic engineering to illuminate this hidden corner of the gut microbiome. The accepted postdoc will lead the research project while mentoring
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accessibility by public transport or car (including free parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The position is available for 3 years. We look
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published by our group (Nasri M, Ritter M et al., Mol Therapy 2024; Skokowa et al., NEJM 2021) and is currently funded by the BMBF/SPARK-BIH program. The postdoc will also participate in the development
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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program), whereas postdoc position is typically for two years. The selected candidate will get the opportunity to work in a highly stimulating and collaborative international research environment and access
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the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: https://www.uni-heidelberg.de/en/cctp-poem The POEM program aims to generate reproducible, micrometer
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge