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Position: Post-Doc (f/m/d)
Institution: Georg-August-Universität Göttingen
Department: Department of Crop Sciences
Location: Göttingen, Niedersachsen, Germany
Duties: NGS library preparation and protocol development; analysis, management and visualization of NGS data; integration of genome-, transcriptome-, and DNA methylation-data of breeding populations and single cells; implementation of statistical models; teaching of students
Requirements: PhD in a branch of natural sciences, bioinformatics, computer sciences or a comparable field. Knowledge in molecular biology/genetics; experience in NGS data bioinformatics (e.g. sequence-, network-, and/or enrichment analyses); programming skills. Knowledge on SQL databases and a quantitative orientation (e.g. experience in statistics and/or systems biology) is of advantage
   
Text: Post-Doc (f/m/d) Einrichtung: Department of Crop Sciences (ID 100536) Ansprechpartner: Herr Prof. Scholten Besetzungsdatum: ab sofort Veröffentlichungsdatum: 02.05.2019 The newly established division of Crop Plant Genetics invites applications for the position of a Post-Doc (f/m/d) in Plant Molecular Genetics / Bioinformatics The position will be for 3 years with extension possible and should be filled as soon as possible The salary is in accordance with the German public service salary scale ( TVL-E13 ) with 100 %, which corresponds to 39.8 working hours per week. We are searching for a person motivated to contribute to shaping and developing the new division. Main research of the group is on the molecular, genetic and genomic dissection of reproduction and hybridization with a focus on epigenetics. We offer a stimulating interdisciplinary environment with active collaborations and exchange with national and international partners within and outside academia. The development of own research projects and the qualification with regard to a scientific career will be supported. Tasks: NGS library preparation and protocol development; analysis, management and visualization of NGS data; integration of genome-, transcriptome-, and DNA methylation-data of breeding populations and single cells; implementation of statistical models; teaching of students Qualifications: PhD in a branch of natural sciences, bioinformatics, computer sciences or a comparable field. Knowledge in molecular biology / genetics; experience in NGS data bioinformatics (e.g. sequence-, network-, and/or enrichment analyses); programming skills. Knowledge on SQL databases and a quantitative orientation (e.g. experience in statistics and/or systems biology) is of advantage. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please submit applications including a letter of motivation, CV with publication list, a description of research experience, certificates, and contact details of two references until Mai 31, 2019 in electronic form as a single pdf file in German or English under the following link https://lotus2.gwdg.de/uni/uzdv/perso/knr_100536.nsf For further information please contact Prof. Dr. Stefan Scholten: Stefan.scholten@uni-goettingen.de , 49 551 39 24295 Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR) Stellensuche Suchen Alle anzeigen Wir weisen darauf hin, dass die Einreichung der Bewerbung eine datenschutzrechtliche Einwilligung in die Verarbeitung Ihrer Bewerberdaten durch uns darstellt. Näheres zur Rechtsgrundlage und Datenverwendung finden Sie im Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) . Kontakt für Anzeigenschaltung Vera Müffeler Postfach 3744 (Gosslerstr. 5 - 7) 37027 Göttingen (37073 Göttingen) Tel. 49 551 39-24213 Fax 49 551 39-1824213 anzeigen@zvw.uni-goettingen.de
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