21 parallel-computing-numerical-methods positions at Radboud University in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you intrigued by
-
at patients’ homes, with facilities for various research methods (including spatialised listening and phoneme discrimination). The research focuses on adolescents and adults with CMT. You will formulate
-
2 Sep 2025 Job Information Organisation/Company Radboud University Research Field Computer science » Programming Neurosciences » Neurobiology Neurosciences » Neuroinformatics Researcher Profile
-
the role of mRNA translation defects. We use a broad spectrum of methods and techniques including recently developed methods for cell-type-specific in vivo labelling of newly synthesised proteins (NCAT
-
Deadline 30 Nov 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description BONSAI is a project within the EU programme Interreg North-West
-
to the understanding of language and the way we use it. Our researchers study this topic from different perspectives and in several contexts, using a variety of innovative research methods. CLS aims
-
intelligence, computer science, or a related discipline. You possess strong programming skills, particularly in Python, and have experience with common machine learning libraries (e.g. PyTorch, TensorFlow). You
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you an enthusiastic young
-
you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase