Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD and postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode
-
DSL. Additionally, you will work on integrating the existing model with the new DSL-based components to ensure the system is production-ready. Profile MSc in Software Engineering, Computer Science
-
information on the doctoral program in the Department of Environmental Systems Sciences (USYS), within which the Plant Ecology Group is located. This project specifically offers outstanding opportunities
-
. Your profile Master’s degree in analytical chemistry, environmental science or related fields Hands-on experience with mass spectrometry (LC-MS or GC-MS) Experience with programming (Python or R) is a
-
excellent organizational skills (workshops, meetings, calls, etc.), exhibit exceptional communication skills both in person and in writing (English fluency is essential, German is a plus), and have the
-
natural language processing to algorithmically detect hate speech across a variety of online venues (newspaper and social media). To do so, we need an up-to-date, high-quality corpus of training data. Job
-
applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills
-
Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
-
mentoring programme. Support the development and implementation of training and capacity building of relevant stakeholder groups. Engage with various stakeholders from the private and public sectors as
-
responsible, together with other members of the department, for teaching undergraduate (German or English) and graduate level courses (English) for students of mathematics, natural sciences, and engineering