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Position: PhD student in Bioinformatics
Institution: Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft
Location: Berlin, Germany
Duties: We are looking for an enthusiastic and ambitious new team member with proven skills in computational method development and machine learning and a keen interest in analyzing mechanisms of transcriptome regulation involving RNA structures or trans RNA-RNA interactions. The key attributes sought are: ability to work alone and as part of a team, excellent attention to detail, excellent problem solving skills, and the desire to learn and improve. Furthermore: excellent communication skills in English (orally and in writing), time management to deadlines, and ability to work in an international and multi-disciplinary, scientific environment
Requirements: MSc or equivalent in Computer Science, Bioinformatics or a related, quantitative field (Mathematics, Physics, Statistics, Bioengineering); excellent skills in object-oriented programming (C++, Java) and R; strong background in machine learning and computational method development; command-line experience working in a Unix-based environment and with high-performance compute clusters; excellent communication skills in English (oral and written)
   
Text: Got it! This website uses cookies to ensure you get the best experience on our website Skip to main content MDC Berlin Main navigation The MDC Research Career News EN DE Breadcrumb Home Career Join us Open positions PhD student in Bioinformatics People on Campus Wissenschaftler / Doktoranden / Meyer Lab / July 04, 2019 PhD student in Bioinformatics Job Code 11116 Department Bioinformatics of RNA Structure and Transcriptome Regulation The Bioinformatics Group of Prof. I. Meyer at the BIMSB and MDC in Berlin is seeking to recruit a PhD student in Bioinformatics. Our goal is to discover new mechanisms of transcriptome regulation in diverse biological settings with a particular emphasis on mechanisms involving RNA-structures or trans RNA-RNA interactions. To this end, we develop new computational methods and algorithms to analyze large-scale transcriptome data (e.g. RNA-seq). Our methods employ a variety of machine learning techniques and new probabilistic models. We work in close collaboration with several experimental research groups to investigate a diverse range of exciting biological systems. The applicant: We are looking for an enthusiastic and ambitious new team member with proven skills in computational method development and machine learning and a keen interest in analyzing mechanisms of transcriptome regulation involving RNA structures or trans RNA-RNA interactions. The key attributes sought are: ability to work alone and as part of a team, excellent attention to detail, excellent problem solving skills, and the desire to learn and improve. Furthermore: excellent communication skills in English (orally and in writing), time management to deadlines, and ability to work in an international and multi-disciplinary, scientific environment. Requirements Essential requirements: --MSc or equivalent in Computer Science, Bioinformatics or a related, quantitative field (Mathematics, Physics, Statistics, Bioengineering) -- excellent skills in object-oriented programming (C++, Java) and R -- strong background in machine learning and computational method development - command-line experience working in a Unix-based environment and with high-performance compute clusters -- ability to write, modify and document complex source code -- excellent communication skills in English (oral and written) - proven ability to communicate scientific ideas and research results -- keen interest in understanding transcriptome regulation Desired requirements: prior experience analysing RNA-seq transcriptome data (1) Please submit your complete application as a single pdf-file by email to David.Schwab@mdc-berlin.de with the job registration number in the subject line including a cover letter including a summary of your present and future research interests CV complete set of all university certificates and transcripts (including grades) recent certificate of English language proficiency (IELTS or TOEFL) for non-English native speakers names and contact details of 2 or more referees (2) Please get 2 or more letters of recommendation to be sent directly to David.Schwab@mdc-berlin.de by the application deadline indicating the job registration number in the subject line. The MDC is an equal opportunity employer and supports gender equality. Salary Re-numeration according to German TVöD (Bund) E13 (65%). Start date as soon as possible Limitation The position is initially offered for 3 years, with the possibility for a further extension. Application Period Friday, 16. August 2019 Further Information https://www.mdc-berlin.de/meyer https://www.mdc-berlin.de/meyer Contact For further information, contact Irmtraud Meyer:(irmtraud.meyer@mdc-berlin.de) and see www.mdc-berlin.de/meyer Share Share via Twitter Share via Facebook Share via Email Sign up for our newsletter Sign up Luftbild des Campus Berlin-Buch © BBB Management GmbH Max-Delbrück-Centrum für Molekulare Medizin Robert-Rössle-Str. 10 13125 Berlin (street address) 13092 Berlin (postal address) Germany Phone: +49 30 9406-0 Sitemap The MDC Mission Organization Helmholtz Cooperations Location & Campus Research Research Areas Labs & Fellows Scientific Infrastructure Publications Scientific Events Career PhD Researchers Postdocs Clinicians Trainees Working at the MDC Join us News News Items Events Newsletter In the Media Communications Department Follow us: MDC Berlin on Facebook MDC Berlin on LinkedIn MDC Berlin on ResearchGate MDC Berlin on Twitter MDC Berlin on Youtube Footer menu Data privacy Impressum © MDC 1992-2019
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