Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
, microbiology, microbial ecology and bioinformatics and regularly hosts international PhD students and postdoc researchers. This fostering a supportive and intellectually stimulating working environment
-
a master’s degree in Computer Science or a closely related discipline (for PostDoc positions) you hold a PhD degree in Computer Science or a closely related discipline or are about to defend your PhD
-
methods, and applied (possibly probabilistic) logics is a plus, as is experience with diagnostics and the modelling of cyber-physical systems. Candidates are expected to have completed a PhD in Computer Science
-
, microbiology, microbial ecology and bioinformatics and regularly hosts international PhD students and postdoc researchers. This fostering a supportive and intellectually stimulating working environment
-
and activities (e.g., workshop organisation) Requirements Specific Requirements a PhD in computer science, artificial intelligence or a related discipline proven affiliation with research social
-
2024 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position
-
23 May 2024 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Physics Technology Medical sciences Researcher Profile First Stage Researcher (R1) Country
-
2 Apr 2024 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Cultural studies Language sciences Researcher Profile Recognised Researcher (R2) Country Netherlands
-
2024 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position
-
position within a Research Infrastructure? No Offer Description The department of Computer Science is looking for a motivated postdoc researcher to carry out research on user-centric data science for smart