103 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at UNIVERSITY OF VIENNA
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods such as
-
. publish internationally and give lectures. apply for projects and raise third-party funds. teach courses in the master's programme "Philosophy and Economics" (within the scope of the provisions
-
evaluation strategies for large amounts of data (such as programming languages Python and/or R) are required to fulfill the tasks. The employment level of 40 hours/week includes an average teaching obligation
-
, and building up an independent research profile you publish internationally and present papers in conferences and workshops give you independently teach courses in the BA program (proseminars), one
-
and research with the existing professorial positions of both institutions. Active cooperation in teaching within the bachelor and master programs “Nutritional Sciences” is required as
-
. Experience with third‐ party funding acquisition is expected. The successful applicant will contribute to teaching and supervision in the degree programs in all levels. Your academic profile: Doctoral degree
-
sphere of influence: The Doctoral School Computer Science DoCS (https://docs.univie.ac.at ) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas
-
Requirements: A completed doctoral degree in chemistry, bio technology or a related field. Strong programming skills in Python, R, or similar languages. A track record of research competence and initiative
-
to the faculty committee of the Doctoral School within one year after coming to Vienna (Faculty public presentation). You independently teach courses in the BA program (proseminar, case study), one course per
-
, a research component and a teaching component. In terms of research, you will be expected to: Develop and implement a coherent and original programme of high-quality empirical research commensurate