-
13 Feb 2024 Job Information Organisation/Company Leiden University Research Field Language sciences Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 15 Apr
-
that they make the most of the site visit. Responsibly integrating recent generative AI models into the workflow, in particular Large Language Models (LLMs), will be part of the challenge. The position
-
; Preference for fluency in Dutch language due to the nature of the project; Background or experience in field work with participatory approaches / citizen science is a big plus. Additional Information Benefits
-
communication skills and fluency in English; Motivation and ideas to do research on Dutch multispecies homes; Preference for fluency in Dutch language due to the nature of the project; Background or experience in
-
on any part of Africa and Asia. Relevant language competency is strongly preferred. Key responsibilities: Completion of a PhD thesis within four years; Participation in meetings of the project research
-
speaks English, candidates need not be afraid of the language barrier. Leiden is a typical historic university city, hosting the oldest university in the Netherlands (1575). The University permeates
-
language skills are not a requirement, but will be seen as a plus. Additional (non-English and non-Dutch) language skills will be seen as a plus, particularly if spoken/used in MENA, Africa, or Asia
-
30 Jan 2024 Job Information Organisation/Company Leiden University Research Field Cultural studies Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Netherlands Application Deadline 1 Mar 2024 - 22:59 (UTC) Type...
-
, language proficiency and other skills. A research proposal (max. 2000 words, excluding the bibliography) outlining a specific research question, its academic and societal contributions, as well as the theory
-
for energy efficiency optimization Use of large language models (LLM) in automatic code optimization Auto-tuning for (energy) performance portability Optimizing (machine-learning) algorithms and applications