Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
, multi-energy grids, and the integration of renewable energy and storage systems Your tasks In the framework of MSCA Doctoral Network (DN) Consumer Energy Demand Flexibility in Electricity Use (CoDEF
-
is a key-enabling technology for advanced manufacturing. In order to address increasingly complex demands on joining (dissimilar materials combinations, miniaturisation, extreme operation conditions
-
related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good
-
recognises that blockchain systems' large-scale characteristics emerge from the continuous interactions between diverse agents operating under specific protocols and rules. We employ sophisticated data
-
100%, Zurich, fixed-term The Frazzoli group at the Institute for Dynamic Systems and Control (IDSC), Department of Mechanical and Process Engineering (D-MAVT) is looking for a Ph.D. student in the
-
We invite applications for a PhD position in computer-aided drug design at the Computational Pharmacy Group, Department of Pharmaceutical Sciences, University of Basel. This position is part of
-
Your position The successful applicant will work under the supervision of the Principal Investigator (Prof. Dr. Maria Katapodi) and collaborate with members of the CASCADE Consortium, a multidisciplinary team involving investigators from basic science, epidemiology, genetic medicine, nursing,...
-
Science Foundation. The successful applicant will be based at the Swiss TPH and registered for a PhD degree at the University of Basel, Switzerland. Trypanosoma cruzi is the causative agent of Chagas
-
to muon g-2 from lattice Quantum Chromodynamics and algorithmic developments for multi-level and RG-improved simulations (research group of Urs Wenger) C.) Study of multi-hadron systems, with a focus on
-
by multi-parameter sensing and creating digital twins of heat-sensitive biological systems (food, humans) that can live together with their real-world counterparts. This project aims to better identify