29 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"O.P"-"MAYNOOTH-UNIVERSITY" positions at Linköping University
Sort by
Refine Your Search
-
organic electronics. Moreover, the network will provide Doctoral candidates with exposure to academic and commercial working environments through a balanced secondment plan, and access to a complete
-
application! The position Duties include assisting with teaching, mainly with marking at advanced level. Teaching within the Computational Social Science program is entirely in English. The person we need A
-
Sweden Application Deadline 23 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
-
First Stage Researcher (R1) Country Sweden Application Deadline 29 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme
-
- 12:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
-
Programme? Not funded by a EU programme Reference Number 853--1-27437 Is the Job related to staff position within a Research Infrastructure? No Offer Description We have the power of over 40,000 students and
-
advanced growth facilities to support your research. WISE Research School: an ambitious nationwide program of seminars, courses, research visits, and other activities to promote a strong multi-disciplinary
-
expect an excellent publication record in areas such as automated planning, machine learning, logic or combinatorial optimization. Furthermore, candidates should have very good programming and
-
Meritorious is if you have: experience with the statistics program R experience with various immunological methods such as flow cytometry and proliferation previous experience of working in a research group
-
, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text