78 programming-"LIST"-"U"-"University-of-St"-"Humboldt-Stiftung-Foundation" positions at University of Vienna in Austria
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, Austria [map ] Subject Area: Applied and Computational PDEs Appl Deadline: 2025/09/17 11:59PM (posted 2025/07/21, listed until 2025/09/17) Position Description: Apply Position Description Please don´t
-
Astronomy. It is the largest and oldest Geography department in Austria. The department offers scientific degrees in the bachelor program, in two master programs, in the teacher education program (Bachelor
-
Job ID: 4566 The University of Vienna, Faculty of Chemistry, is home of the Vienna Doctoral School in Chemistry (DoSChem). DoSChem is the largest doctoral training program in Austria focusing on
-
organise scientific events. You prepare and complete a publication-ready habilitation. You hold courses independently in the Bachelor programme „Languages and Cultures of South Asia and Tibet” and the Master
-
to research, teaching, and departmental operations Requirements: • A completed doctoral degree in chemistry, bio technology or a related field. • Strong programming skills in Python, R, or similar
-
science field with a strong interdisciplinary orientation that analyses the interactions of science, technology, and society. The department offers the English language master program 'Science, Technology
-
teaching, the applicant will be involved, inter alia, in the education of fundamentals in mathematics in all study programs of the faculty, esp. in the Master program Business Analytics. The Tenure Track
-
of Historical and Cultural Studies (https://dshcs.univie.ac.at/en). The Master’s program in Digital Humanities provides an institutional platform for cooperation between the Faculty of Historical and Cultural
-
language education. Successful candidates will be part of the team that supervises and develops the Master’s degree programme ‘German as a Foreign and Second Language’ and are therefore also involved in
-
, to the mathematical foundations of all study programs at the faculty, particularly within the Bachelor’s and Master’s programs in Statistics and Data Analytics. In addition to the numerous professors at the Department