Bioinformatician
- Város
- Wien
- Cégnév
- Universität Wien
- Céginfo
- 28 állás a cégnél
- Cég címe
- None None
- Cég weboldal
- https://www.univie.ac.at
- Cég link
- https://at.indeed.com/cmp/Universit%C3%A4t-Wien
- Hirdetés aktiválása
- March 31, 2023, 2:27 p.m.
- Hirdetés utoljára aktív
- April 20, 2023, 8:36 p.m.
- Link
- https://at.indeed.com/viewjob?jk=db064e7f49d0c0b0

- Vienna,Wien
- 15
- java
- 5
- javascript
- 5
- python
- -10
Farkas Kiss Endre legjobb állása Universität Wien
Universität Wien email
Email tárgya
Bewerbung fur IT developer/IT quality assurance
Levél szövege
Lieber Universität Wien!
Ich möchte mich bei Ihrem Unternehmen als Bioinformatician bewerben.
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.
Ich habe meinen Lebenslauf an diese E-Mail angehängt.
Wir freuen uns darauf, von Ihnen zu hören!
Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger
https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org
Álláshirdetés szövege
The University of Vienna (20 faculties and centres, 184 fields of study, approx. 10.400 members of staff, about 90.000 students) seeks to fill the position as soon as possible of a
Bioinformatician
at the Department of Structural and Computational Biology
Reference number : 13901
The research groups of Arndt von Haeseler and Jörg Menche at the Max Perutz Labs at the University of Vienna at the Department of Structural and Computational Biology are recruiting a highly motivated joint PhD student. The Max Perutz Labs are a joint venture of the University of Vienna and the Medical University of Vienna. Located at the Campus Vienna Biocenter the Max Perutz Labs are home to over 450 scientists from over 30 nations organized in 62 groups working in the field of molecular biology.
You will join a team working in the field of network science, systems biology, and complex systems. A special focus is the development of network-based methods for the integration and analysis of large and diverse biomedical data. The preferred candidate has a proven ability to independently design and implement cutting-edge computational methods for network science to study the diverse aspects of complex biological systems. Experience with handling large datasets and next-generation sequencing data is required. It would be an advantage that the successful candidate will have an in-depth understanding of web technologies such as JavaScript frameworks and Python frameworks such as Flask, as well as experience in building or extending existing web-based tools and experience in methods of data visualization.
The candidate is further expected to be willing to teach and can supervise students. Teaching experience is therefore a plus. The position is also involved with international collaborations. The candidate will participate in research, teaching to the extent of the collective agreement provisions and administration - contributing to research projects / scientific studies - and contributing to publications / scientific articles. Also, the successful candidate is expected to complete her*his dissertation agreement within 12-18 months.
The employment contract is initially limited to 1.5 years and is automatically extended to a total of 4 years, unless the employer declares non-renewal after a maximum of 12 months.
Duration of employment: 4 year/s
Extent of Employment: 30 hours/week
Job grading in accordance with collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) with relevant work experience determining the assignment to a particular salary grade.
Job Description:
Participation in research, teaching and administration:
Participation in research projects / research studies
Participation in publications / academic articles / presentations
We expect the successful candidate to sign a doctoral thesis agreement within 12-18 months.
Participation in teaching and independent teaching of courses as defined by the collective agreement
Supervision of students
Involvement in the organisation of meetings, conferences, symposiums
Involvement in the department administration as well as in teaching and research administration
Profile:
- Professional competence training in Systems Biology with focus on biological networks
- Methodological competence Proven competence of network science, image analysis, and working with large-scale databases. - Experience working with different -omics datasets and genetic screens
Didactic competence Experience with course organization, teaching and assignments/homework preparation
- High ability to express yourself both orally and in writing - Excellent command of written and spoken English
- IT user skills - Ability to work both independently and in a team.
Experience working with international collaboration partners and working on several projects simultaneously.
You need to have successfully passed the VBC-PhD selection
In addition, we expect the successful candidate to have:
Teaching experience
Experience of working on research projects and academic writing
Desirable qualifications are
Knowledge of university processes and structures
Experience of working with e-learning
Experience of supervising students
Application documents
Letter of motivation
Academic curriculum vitae (including a list of publications, a list of courses and a list of talks (given)
Description of research interests and research agenda
Research fields:
Main research field
Special research fields Importance
Biology
Bioinformatics MUST
Education:
Educational institution
Educational level Special subject Importance
University
Biology MUST
Languages:
Language
Language level Importance
English
Very good knowledge MUST
Computer-Skills:
Type of computer skills
Specified computer skills Importance
Programming language
JAVA MUST
Applications including a letter of motivation (German or English) should be submitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at) no later than 20.04.2023, mentioning reference number 13901.
For further information please contact Gruber, Iris +43-1-4277-74320.
The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (http://diversity.univie.ac.at/). The University lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.
Reference number: 13901
jobcenter@univie.ac.at