-
Apply now The Mathematical Institute (MI) of Leiden University and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a PhD Candidate in Random Graphs and Complex Networks
-
of scientific publishing. These include the proliferation of paper mills, defined by the Committee on Publication Ethics (COPE) as operations through “which manufactured manuscripts are submitted to a journal for
-
networks.The candidate will collaborate with Dr. Rita Pucci (LIACS), Prof. Fons Verbeek (LIACS) and Prof. Daniele Avitabile (VU). This project aims to create in a deep neural network with a strong prior
-
contact electrodes thanks to well-defined, chemically modified edges that are introduced onto the contacts. The contacts, thus bridged by a nucleotide, will yield a tunneling current uniquely characteristic
-
the form of a research course report or master’s thesis; Good programming skills. Preferably you have provable experience with deep learning; software (e.g., Pytorch, Jax, Tensorflow) and large-scale
-
of interdisciplinary interests, comparative regional studies, and social science research methods, we emphasize our role in the extensive collaborative network within Leiden University. In both our research and
-
on ethnographic fieldwork. With our unique blend of interdisciplinary interests, comparative regional studies, and social science research methods, we emphasize our role in the extensive collaborative network
-
in early life more broadly. To achieve this goal of defining and explaining care practices, this project has three objectives: (1) to show the nature and scope of the invisible work required during
-
conceptualize the history of private and public caretaking in early life more broadly. To achieve this goal of defining and explaining care practices, this project has three objectives: (1) to show the nature and
-
software for radio telescopes, with a particular and increasing focus on sustainability. Terms and conditions We offer a full-time 1-year term position for initially one year. After a positive evaluation of