Two physicists, from EPFL and Columbia University, have introduced an approach for simulating the quantum approximate optimization algorithm using a traditional computer. Instead of running the algorithm on advanced quantum processors, the new approach uses a classical machine-learning algorithm that closely mimics the behavior of near-term quantum computers.
University of Basel researchers have reached an important milestone in their quest to produce more sustainable luminescent materials and catalysts for converting sunlight into other forms of energy. Based on the cheap metal manganese, they have developed a new class of compounds with promising properties that until now have primarily been found in noble metal compounds.
Neuroscientists often use calcium imaging to analyze neuronal activity in the intact brain. But this method provides only an indirect and slow measure of action potential firing, creating the need to reliably reconstruct action potentials from calcium signals. Peter Rupprecht, a former PhD candidate in the Friedrich group, developed a novel algorithm based on machine learning that is very effective, easy to use, and highly robust. It has the potential to become a new standard for neurobiologists worldwide.
Wissenschaftliche/r Mitarbeiter/in- Modellierung von Pathogenen Agroscope, 1260 Nyon (VD)
one Postdoc and 2 PhD positions in Metamorphic Software / Mobile Code for Trustworthy Computing University of Basel
Dozentin / Dozent mit Schwerpunkt digitale Forensik und Cyber Investigation (70-100%) Hochschule Luzern, Rotkreuz
Dozentin / Dozent Natural Language Processing (60-100%) Hochschule Luzern, Rotkreuz
Technisch-landwirtschaftliche/r Mitarbeiter/in – Weidesysteme Agroscope, 1725 Posieux FR
Wissenschaftliche/r Mitarbeiter/in - Raufutterbewertung und Raufutterkonservierung Agroscope, Posieux
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