Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
of these research topics. Your position The successful PhD applicant will develop a PhD research program in the research fields listed above, or a closely related field, in close collaboration with the daily
-
international campus with world-class infrastructure, including high performance computing. EPFL covers a wide spectrum of science and engineering and offers a fertile environment for research and cooperation
-
Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
-
for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD and postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode
-
the ETH Zurich employee benefits program chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich encourages an inclusive culture. We promote
-
) Ability to present results to different audiences (technical, non-technical) Solid knowledge of machine learning concepts and programming skills in Python, R, or a similar language 1-3 years of data science
-
. 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
-
applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills
-
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