21 Mathematics positions in Phd in Switzerland

PhD position in Mathematical modelling of drug resistance evolution

analysis skills. The working language is English. Strong candidates have a master's degree in Biology, Mathematics, Physics, computer science, or a related field, with a strong interest in biological

PhD Position in Machine Learning and Computer Vision

, Mathematics or Engineering, with a solid background in machine learning and computer vision. You have excellent skills in applied mathematics, in probability theory, and a programming language (e.g., Python, C

PhD position in Drug resistance evolution and Pharmacodynamic data analysis

, Mathematics, Physics, Computer science, or a related field. Prior experience in integrating diverse datasets and developing computational tools for data analysis and Interest in designing and implementing

PhD position: self-emerging architected materials

science, or a related discipline and have a background in solid mechanics, applied physics and mathematics, computational sciences, or a related field. Additionally, you have prior programming experience

PhD candidate to investigate the Impact of Consumer Flexibility on planning of multi-energy districts

strong programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The

PhD Position in Physics-Informed Machine Learning For Mechanics of Material Failure

conferences.Requirements:- Passion about working at the intersection of mechanics and machine learning.- Bachelor/Master’s degree in Civil Engineering, Mechanical Engineering, Applied Mathematics, Computational Science or

PhD position in the field of Quantum Machine Learning (Prof. A. Lucchi, Dr. Stefan Woerner and Dr. David Sutter)

range of research groups and institutes across different faculties. The position is offered in the Department of Mathematics and Computer Science. About IBM Research - Zurich: The IBM Research Laboratory

PhD Position in Physics-Informed Machine Learning For Mechanics of Material Failure

the intersection of mechanics and machine learning. - Bachelor/Master’s degree in Civil Engineering, Mechanical Engineering, Applied Mathematics, Computational Science or related areas. - Background in computational

PhD position in computer-aided catalyst design

be carried out in collaboration with groups in theoretical chemistry, computer science and applied mathematics. Job description As a PhD student in our growing team, you will perform quantum-chemical

PhD candidate to investigate the Impact of Consumer Flexibility on planning of multi-energy districts

. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should have excellent written and oral communication skills in English