68 web-programmer-developer-"https:"-"UCL"-"P"-"https:"-"https:"-"https:" positions at Nature Careers in Austria
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
addition to providing a solid academic education, we also place a special emphasis on the personal development of students. We support students in developing curiosity and critical thinking, thereby creating a solid
-
the opportunities for cooperation with the faculty’s key research areas. Your future tasks: Successful candidates will actively participate in the training of archivists, further develop the training program in
-
. The employee's research should qualify him/her for a doctorate as part of the international PhD program in Management. The program provides knowledge that enables you to apply analytical methods to business
-
“Nutritional Sciences” is required as well as participation in curricular development. Your academic profile: Doctoral degree/PhD Outstanding research achievements, excellent publication and funding record
-
are an interdisciplinary research team working at the interfaces between nutrition and the development of metabolic diseases as well as healthy aging. We build on a good working atmosphere, close collaboration with our
-
bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4874 The position is part of the Solar System Evolution group led by Ass.-Prof. Kristina Kislyakova. The main
-
Participation in publications / academic articles / presentations Doctoral students who are already enrolled in a programme and have not yet received approval of their research proposal may use the employment
-
the Oskar Morgenstern Doctoral School (OMDS). The VGSE offers a broad three-year PhD program in economics focusing on specialized field courses, research seminars, and intensively supervised research time
-
compliance with quality standards Participate in method transfer, assay validation, and technical troubleshooting Communicate with stakeholders and partners Prepare reports, reviews, and summaries in
-
Machine Learning ” within the research group “ Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial