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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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(beyond model training) Solid programming skills (Python required; C++/CUDA a plus depending on simulations) Interest in physics-based simulation, numerical methods, or computational engineering Motivation
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computing is an advantage Excellent programming skills (Python, Matlab or C), Good dominion of biomedical signals and human physiology is desirable, Strong interest in translational endocrinology and digital
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image analysis, deep learning as well as mathematics. You have substantial expertise in programming, especially in Python and Matlab. You are independent, meticulous and work efficiently. Since
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data, programming/scripting languages such as R or Python. In particular, experience working with methylation data and the analysis of this type of data is a benefit. Great emphasis will be placed
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degree in bioinformatics, computational biology, statistics, or a comparable field Strong programming skills in common analysis environments such as R and/or Python Experience in the analysis of single
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use other programmes, such as Python, Stata, or SAS. Application deadline Please check the HDS PhD website in autumn 2025 for updated information on 2026 HDS PhD programme admissions. The application
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particle physics phenomenology -programming in C++ and/or Python -fluent knowledge of English language Welcome: experience in Monte Carlo methods and statistical modeling experience in QCD phenomenology
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: Ability and motivation to conduct fieldwork in alpine environments, and willingness to obtain a UAV license. Interest in coding (e.g., Python, Matlab, R) and numerical modelling. Enthusiasms for working
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Science; Have knowledge of SQL, Python, ArcGIS, Power BI, Java, and SAS. Work plan and goals to achieve The work focuses on developing an Integrated Analytical Platform for Territorial Intelligence – Smart