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Archiv-Übersicht     Angebot Nr. 12794

Angebotsdatum: 15. April 2018
Art der Stelle: Doktorarbeit
Fachgebiet: Humanmedizin > Biochemie
Titel des Themas: Graduate Student position in RNA Genetics and Cancer

Institut: Abt. RNA-Biologie und Pathogenese
Adresse:
Prof. Tony Gutschner
Kurt-Mothes-Str.3a
06120 Halle (Saale)
Tel.:    Fax.:
Bundesland: Sachsen-Anhalt
Homepage: http://www.medizin.uni-halle.de/gutschnerlab
E-Mail Kontakt: mail

Beschreibung: The junior research group "RNA Biology and Pathogenesis" (Head: Jun.-Prof. Dr. Tony Gutschner) at the Martin-Luther-University Halle-Wittenberg, Germany, is seeking an exceptionally talented and highly motivated PhD student with an interest and experience in the area of bioinformatics, molecular biology or cancer research, ideally in RNA biology or functional genomics.
The Graduate Student position (E13 TV-L, 65%) is available immediately and limited to three years.

The successful candidate will investigate the function of RNA-binding proteins (RBPs) in human cancer cells and characterize associated phenotypic dependencies. Specifically, the PhD candidate will (I) establish cellular models of cancer-associated RBPs using genome engineering (CRISPR/Cas9) and/or lentiviral gene and shRNA transfer; (II) extensively characterize these engineered cell lines phenotypically (proliferation, apoptosis, migration/invasion and tumor growth in vivo); (III) profile these cell lines functionally using CRISPR/Cas9 libraries to identify dependencies; and (IV) mechanistically characterize the most interesting RBPs and functional dependencies in detail in vitro and in vivo using biochemical, molecular and cell biology methods (e.g. Cloning, qRT-PCR, RNA-IP, CLIP; Immunofluorescence).
This position provides an opportunity for the candidate to be creative and innovative, and to work on a challenging, multidisciplinary topic. We offer a close supervision and mentoring. The candidate will have the opportunity to present his/her results at conferences.

Applicants must hold a Diploma or Master’s degree in the fields of bioinformatics or life sciences (biology, biochemistry, molecular medicine, or related disciplines). The successful candidate is a highly motivated, creative, ambitious, and hard-working individual with excellent grades who is passionate about making a difference through cancer research. A reliable and accurate scientific working ethic, and the ability to work efficiently, independent as well as in a team, is a necessity. An excellent written and oral command of English paired with strong communication skills is essential. The ideal candidate has a solid background in the field of cancer biology and expertise in molecular and cellular biology, with a specific focus on the techniques described above. Knowledge in statistics and bioinformatics would be advantageous.

Applications should consist of (I) a motivation letter mentioning the expected availability date, (II) a recent curriculum vitae incl. an overview of techniques and methods used in the past, (III) academic degrees and certificates, (IV) a list of publications/awards, (V) other skills and interests relevant for this position, and (VI) contact information of up to two individuals who could provide an evaluation of the candidate upon request.
Please submit your full application (in electronic form preferentially as a single pdf) mentioning the registration number 7-176/17-H in the subject line until April 27, 2018 to Jun.-Prof. Dr. Tony Gutschner, E-mail: tony.gutschner@uk-halle.de

More information can be found on our website: http://www.medizin.uni-halle.de/gutschnerlab

The Martin-Luther-University Halle-Wittenberg is an equal opportunity employer. Disabled candidates with equal qualifications will be given preference. Women are strongly encouraged to submit an application.
The announcement takes place pending on fund availability and any possible budget restriction. Application expenses cannot be reimbursed by the Martin-Luther-University.
Methoden:
Anfangsdatum: 15. Juni 2018
Geschätzte Dauer: 3 Jahre
Bezahlung: E13 TV-L (65%)
Papers:
Sonstiges:

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