Student assisstant for AI-enhanced bias adjustment of climate model outputs (f/m/x) The job Join our team, starting on October 1st, to explore how machine learning can improve the bias adjustment of climate model outputs, with a focus
IDea_Lab - Das interdisziplinäre digitale Labor der Universität Graz Professur für Machine Learning Methods 2 Bewerbungsfrist: Stellenprofil: § 98 UG Wochenstunden: 40 h/W Verwendungsgruppe: A1 Dienstbeginn: Oktober 2027 Anstellungsdauer: Unbefristet Stellenbeschreibung Die Professur fokussiert auf die methodischen Grundlagen
Your personal sphere of influence:As a university assistant (praedoc) on this 4-year position, you will be part of the Quantum Nanophysics Team (QNP) around Prof. Markus Arndt. Our group is working on experiments at the interface