Machine Learning Lifecycle-Stellen in Bern

About the position We seek qualified candidates for two 4-year PhD positions in exoplanet science in the research group of Prof. Yann Alibert (University of Bern), focusing on the internal structure, formation and architecture of planetary systems, in particular with the help of machine learning (ML

2 PhD positions in planetary science and machine learning 100%, fixed-term, Bern Your profile The ideal candidate will have a bachelor's and master's degree in physics, astrophysics, planetary science or equivalent. Experience with data analysis, ML and AI methods is an advantage. Candidates should

ppShape the future with us! /p h3bYour Role Responsibilities /b /h3 ul lipLead the research, development, and training of imitation learning models for robotic applications. /p /li lipDrive model fine-tuning for specific robotic manipulation use cases. /p /li lipWork across the full machine learning

Marco Fuhrer Management Consultants sucht einen erfahrenen Softwareentwickler im Backendbereich in Bern, Schweiz. Voraussetzung sind fundierte Kenntnisse und langjährige Erfahrung in der agilen Softwareentwicklung, insbesondere mit Technologien wie Java EE und JavaScript. Zudem sind Kenntnisse im Ei

pThe ARTORG Center for Biomedical Engineering Research is a multidisciplinary research center at the University of Bern developing medical technology solutions from basic research to clinical applications. /p pEvery year, millions of people undergo refractive surgery to correct their vision, yet out

Consulteer GmbH

Shape the future with us! Your Role & Responsibilities Lead the research, development, and training of imitation learning models for robotic applications. Drive model fine-tuning for specific robotic manipulation use cases. Work across the full machine learning lifecycle, including data management,

ppbPhD Position in Statistics with a focus on Statistical Machine Learning for Self-Driving Microscopybr/100% /b /p /p pJoint project between – Pertz Lab () D. Ginsbourger's Group ()br/br/We are seeking highly qualified, motivated and creative candidates wishing to join a collaborative project at th

pJoint project between – Pertz Lab () D. Ginsbourger's Group ()br/br/We are seeking highly qualified, motivated and creative candidates wishing to join a collaborative project at the interface of statistical machine learning and live-cell biology.br/The PhD in statistics will be co-supervised by Pro

Consulteer

Shape the future with us! Your Role & Responsibilities Lead the research, development, and training of imitation learning models for robotic applications. Drive model fine-tuning for specific robotic manipulation use cases. Work across the full machine learning lifecycle, including data management,

ppbDas kannst du bewirken /b /p /pliDu verantwortest die Erstellung, Weiterentwicklung und den Betrieb unserer KI-/ML-Modelle über den gesamten Produktlebenszyklus hinweg. /liliDu stellst die kontinuierliche Überwachung der Daten- und Modellqualität sicher (z. B. Erkennen von Abweichungen, Anomalien

Consulteer

A leading tech company in Switzerland is seeking a specialist to lead the development of imitation learning models for robotic applications. The ideal candidate will have a PhD or MSc in a relevant field, alongside 3+ years of experience coding in Python. Responsibilities include fine-tuning models

ppShape the future with us! /p h3bYour Role Responsibilities /b /h3 ul lipLead the research, development, and training of imitation learning models for robotic applications. /p /li lipDrive model fine-tuning for specific robotic manipulation use cases. /p /li lipWork across the full machine learning

PostFinance AG

Ein führendes Finanzinstitut in der Schweiz sucht einen Data Scientist, der die Daten- und KI-Initiativen vorantreibt. In dieser Rolle werden Sie eng mit verschiedenen Stakeholdern zusammenarbeiten, um neue Projekte zu identifizieren und umzusetzen. Sie bringen ein Master- oder Doktorat und fundiert

Une société d'analyse de données en Suisse recherche un professionnel pour développer des modèles d'apprentissage automatique et des prototypes d'applications. Le candidat idéal aura au moins un an d'expérience en ML et une formation en sciences naturelles, en informatique ou en mathématiques. Des c