94 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
detection methods Background in public outreach or science communication Familiarity with high-performance computing environments Proficiency in Danish and/or German Who we are The Department of Ecoscience is
-
-generation sustainable and high performance photovoltaics. We offer a modern, inclusive, international and interdisciplinary working environment with state-of-the-art facilities as well as a strong tradition
-
strong-field quantum electrodynamics and wishes to expand into other or similar areas of research performed at CERN, preferably areas that may be synergetic with the current activities. We are thus looking
-
to transform the entire structure and functioning of Arctic coastal marine ecosystems. CIFAR is a research center that aims to unravel how the complex interplay between ice melt, runoff and ice formation across
-
of combined classical and quantum communicating and computing systems as well as their timing performance is available and open for appointment from March 1, 2026, or soon as possible thereafter. In
-
quality parameters affects production performance of Atlantic salmon through a series of growth trials and physiological experiments as part of a preventive strategy for CO2 related production disorders
-
cellular processes efficiently. This project aims at understanding the formation and functioning of aggregate-forming Archaea-Bacteria partnerships. The project involves working with syntrophic deep-sea
-
the prospect of performance- based advancement to a tenured Associate Professorship position. The aim of the Natural Sciences Tenure Track Programme is to: attract outstanding talented individuals
-
. In terms of research The position includes research within the project Best for Us (in Danish, Bedst for Os) https://bedstforos.dk/ . Best for Us is a large research project aimed at investigating
-
and high-performance computing resources. The positions are part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration