Shape the Future of Climate Tech with Phlair! Fossil fuels have powered our economy for decades—at the cost of pollution and a changing climate. At Phlair, we’re reversing that equation. With our cost-efficient, scalable electrochemical Direct Air
Everseen: A leader in vision AI solutions for the world’s leading retailers. Are you a builder who wants to be part of a world-class, destination sales team? Do you thrive on creating value and understanding the
Ref. no. 2082 Our team in the Faculty of Mathematics and Computer Science is looking for a Research Assistant in the Chair of Analysis Starting on 1 August 2026 Full-time (39.83 hours per week) Fixed-term (until
Shape the Future of Climate Tech with Phlair! Fossil fuels have powered our economy for decades—at the cost of pollution and a changing climate. At Phlair, we’re reversing that equation. With our cost-efficient, scalable electrochemical Direct Air
Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and
Location: Munich, Germany (Hybrid: 2–3 Days Remote / Week) Employment Type: Full-Time, Permanent Compensation: Up to €80,000 gross p.a. Language Requirements: Fluency in German (C1+) & English (C1+) Our Mission: Building the Construction Supply Chain OS
The Faculty of Mathematics and Physics at the Mathematical Institute is offering a W3 professorship for Analysis (successor to Kuwert) Fulltime position; start-date: October 1, 2027 The professorship is conceived as a strategic key appointment in
Facing the challenges of our time - Help us grow and be more impactful! CSEM is advancing the use of artificial intelligence to accelerate the design of complex physical systems. Several ongoing projects apply ML-driven optimization
Facing the challenges of our time - Help us grow and be more impactful! CSEM is advancing the use of artificial intelligence to accelerate the design of complex physical systems. Several ongoing projects apply ML-driven optimization