Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
for peacebuilding professionals from around the world. To support our Communication Team, we are looking for an: Associate Program Officer Communication (80-100%) Starting date: 1 June 2026 (or by agreement
-
, armed conflict and authoritarian regimes, and to prevent their reoccurrence. swisspeace's Dealing with the Past Program is currently looking for a(n):
-
of Immune Engineering (BIIE), which aims to develop innovative computational and immune-based solutions for pressing health challenges, particularly those affecting children and adolescents, and encourages
-
DIZH understands innovation very broadly and includes all disciplines: artistic, design, natural science, technology, humanities, education and social science.
-
-dimensional datasets. Your profile • PhD in neuroscience, computational neuroscience, or related quantitative discipline (neuroscience background required). • Strong expertise in neuronal data analysis (spike
-
Your position We're strengthening our team to deliver on our core mission: helping entrepreneurs turn ideas and discoveries into successful startups. We're looking for someone with both experience and enthusiasm for designing and running high-quality programs and for creating opportunities that...
-
competitive grant proposals to support independent and joint research activities. Where to apply Website https://apply.refline.ch/673278/3852/pub/en/index.html Requirements Research FieldPhysics » Computational
-
Department of Pathology and Molecular Pathology Non-Tenure Track Assistant Professorship of Computational Functional Tumor Pathology 100% Start of employment by agreement, temporay The Faculty
-
, Switzerland [map ] Subject Areas: Computer Science / Distributed Systems and Networking , Networking , Networking and distributed systems Appl Deadline: 2026/01/08 11:59PM (posted 2025/11/10, listed until
-
-facturing processes. In this internship, you will work on state-of-the-art anomaly detection methods using computer vision and time-series data, with a particular focus on multimodal data fusion for powder