Zur Startseite von DrArbeit.de,
der deutschlandweiten Stellenbörse für Diplomarbeiten und Doktorarbeiten


Lupe2

Archiv - Stellenangebot

 

Dies ist ein Angebot aus der Datenbank von DrArbeit.de

Um die Datenbank komfortabel nach weiteren Angeboten durchsuchen zu können, klicken Sie einfach oben oder hier.

 
Archiv-Übersicht     Angebot Nr. 13689

Angebotsdatum: 6. November 2019
Art der Stelle: Doktorarbeit
Fachgebiet: Informatik > Bioinformatik
Titel des Themas: Phd Positions in the fields of Bioinformatics, Medical Statistics and Personalized Oncology

Institut: Institut für Medizinische Bioinformatik
Adresse:
Frau Daniela Großmann
Goldschmidtstr. 1
37077 Göttingen
Tel.: 05513914912   Fax.:
Bundesland: Niedersachsen
Homepage: http://https://bioinf.med.uni-goettingen.de/jobs; https://www.umg.eu/karriere/stellenangebote/stellenanzeigen-detail/?jobId=2907
E-Mail Kontakt: mail

Beschreibung: As part of the Comprehensive Cancer Center Göttingen a Molecular Tumor Board (MTB) will be set up at the University Medical Center Göttingen over the next few years. For this purpose, methods, software and knowledge databases for the evaluation of the molecular state of tumors and for the prediction and evaluation of personalized treatment options are required. Within an interdisciplinary project, tools and knowledge databases will be developed to automatically generate MTB reports and thus support the Molecular Tumor Board. The project also includes collaborations with the University Medicine of Münster and the German Cancer Research Center. To support this project, we are now looking for scientific staff for an interdisciplinary team at the Institutes for Medical Bioinformatics, for Medical Informatics and at the Clinic for Oncology of the University Medical Center Göttingen. Within the scope of this project we also offer topics for doctoral theses in the fields of artificial intelligence methodology in personalized medicine, development of software tools and knowledge management.

Your position:
Collaboration in the development of a tool for enrichment, automatic analysis, evaluation and filtering of personalized treatment options based on patient data using public domain data sources
Structure of an Knowledge Management System
Development of requirements in dialogue with representatives of different disciplines

Qualifications and personal qualities:
Master‘s degree within the field of computer science, bioinformatics, medical informatics, molecular medicine or a related discipline
Thorough understanding of bio-medical basics
Very good knowledge of programming
Enjoy working with complex models
Strong interest in building a sustainable software project
Excelent communication skills and fluency in both written and spoken English are required; knowledge of German would be an advantage
High motivation and able to work independently and interactively in a team setting


The University Medical Center Göttingen strives to increase the proportion of women in areas where women are underrepresented and therefore expressly invites qualified women to apply.

The University Medical Center Göttingen is particularly committed to the professional participation of disabled people and therefore welcomes applications from disabled people. In the case of equal suitability, applications disabled persons will be preferentially considered in accordance with the relevant regulations.
We kindly ask you to indicate any disability/equality in your letter of application in order to protect your interests.

Further information can be found at: http://www.bioinf.med.uni-goettingen.de/jobs/

If you have any questions, please contact Prof. Dr. Tim Beißbarth, telephone: 0551-3914912; e-mail: office@bioinf.med.uni-goettingen.de

Please send your application until 05.01.2020 - preferably in electronic form – to:
Universitätsmedizin Göttingen
Institut für Medizinische Bioinformatik,
Prof. Dr. Tim Beißbarth
Goldschmitdtstr. 1, 37077 Göttingen
E-Mail: office@bioinf.med.uni-goettingen

Hint:
We ask for your understanding that travel and application costs cannot be reimbursed.
We would like to point out that submitting your application constitutes your consent under data protection law to the processing of your data as part of the application procedure.




Methoden:
Anfangsdatum: 6. November 2019
Geschätzte Dauer: 3 Jahre
Bezahlung: E13 TV-L (50-100%)
Papers:
Sonstiges:

Archiv-Übersicht