Sort by
Refine Your Search
-
experts, including Dr. Dr. Sanket Rane (Columbia University, NY) specializing in mathematical modeling, Prof. Benedict Seddon (University College London) focusing on lymphocyte development and homeostasis
-
degree in Computer Science or Mathematics. - an interest in machine learning and game theory. - excellent communication skills in English. If you fit this profile, like challenging tasks, and are
-
, support lab courses, and supervise student research. Your profile: Above-average master’s degree in computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering
-
good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline
-
to 2 years; an extension of an additional 2 years is possible. TASKS: Mathematical and physical modeling to determine greenhouse gas and pollutant emissions in cities using novel atmospheric measurements
-
analysis (TEA) or an affinity towards these research questions. - Basic knowledge in bioprocess design, bioengineering and/or mathematic modeling - Affinity towards research question in life cycle
-
of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
-
for inverse problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering
-
Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, or a similar subject. Most importantly, you should be creative, passionate about research, driven by curiosity, and be able to think
-
, Mathematical modelling, Biology, Environmental Science, Physical Geography, or related fields. • Specific research in agricultural-environmental disciplines, and particularly with respect to livestock