TKyiv Academic University (KAU) and IFW Dresden/TU Dresden, within the bi-lateral collaboration funded by the UKRATOP Project, invites applications for scholarships available for young Ukrainian researchers (MSc students, PhD students, and PostDocs) to support joint research in field of topological states of matter. The UKRATOP Project is funded by the Federal Ministry of Education and Research (BMBF). The applications should be submitted before May 14, 2018. The UKRATOP selection workshop scheduled on May 30, 2018 at KAU.
Prof. Alfonso Gautieri & Prof. Alberto Redaelli from Biomechanics Research Group, Politecnico di Milano will give a course on the atomistic modeling techniques including choosing interatomic potentials, visualization and analysis of data. Pre-requirements of the Course: Basic knowledge of theoretical physics and coding. Deadline for registration: 30 April 2018
Alumni Network Ukraine-Germany is the project where Kyiv Academic University take part since spring of 2018. The network, funded by the German Academic Exchange Service (DAAD) and the Federal Ministry for Economic Cooperation and Development (BMZ), was initiated by a consortium of 21 Ukrainian and German institutions from academia, politics, society and economy.
28 March, 2018 at 18:30 at the Department of Mathematics of Kyiv Academic University will be the lecture of Dr. Misha Fomytskyi "Options Trading"
We will start with the high-level overview of the marketplace: who and why trades options? We will discuss what types of market participants can expect to be consistently compensated by the market and go over three categories of sustainable trading strategies with real-life examples ranging from ultra short-term HFT to long horizon "smart beta" trades.
09 квітня о 15:00 в Інституті математики НАН України відбудеться лекція
«Becoming a Data Scientist, Teaching Data Scientists: Essential Data Science competences and skills»
Доповідач: Yuri Demchenko (University of Amsterdam), співкерівник проекту EDISON: Building the Data Science Profession