52 computing-"https:"-"https:"-"https:"-"I.E"-"Dana-Farber-Cancer-Institute" PhD positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
computational social choice; please visit https://algo.win.tue.nl/ for more details on the cluster. The cluster provides a lively and international environment for your research. As a PhD student, you do need
-
PhD Position in Computational Modelling of Fungal Evolution Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 14 April 2026 Apply now
-
) Application Deadline 30 Apr 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not
-
of theoretical computer science researchers in Amsterdam (https://theory.amsterdam ). What are you going to do? You are expected to: carry out original research in the field of theoretical computer science; have
-
Website https://www.academictransfer.com/en/jobs/357906/phd-position-on-computational-i… Requirements Specific Requirements We are looking for talented enthusiastic PhD candidates who meet the following
-
16 Jan 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Computer architecture Computer science » Computer hardware Researcher
-
PhD position in AI and Human Centered Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 5
-
PhD Position in Sequential Decision-Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 15 May 2026
-
the magnetization will propagate without scattering and loss of energy. Such structures could potentially be a novel building block for future computer chips and more sustainable IT technologies. Your research will
-
to genomic and epidemiological data; design controlled computational experiments (simulations and synthetic datasets) to validate theoretical predictions; apply your methods to large-scale viral datasets