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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
, public health, food safety, or biotechnology. Applicants must hold a relevant Master’s degree (e.g., Microbial Ecology, Bioinformatics) and have strong skills in R and Python, sequencing data analysis, and
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(CW and pulsed, UV) Atomic spectroscopy Software skills for experiment control (Python, Labview), simulation (COMSOL, Python) and data analysis (Python, C++). Desirable Skills Knowledge of the following
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(e.g., Python) and experience with astronomical data processing. Fluency in English (spoken and written). A category B driver’s license (Austrian Führerschein B or an equivalent from another country
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mathematics. Strong programming skills in Python. Ideally, also proficiency in at least one major deep learning framework (e.g., PyTorch, JAX). An early track record of research (e.g., a high-quality Master's
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knowledge of computational social sciences • Excellent knowledge of the following statistical software programs: R and Python • Experience in science communication and knowledge transfer (preferably
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, especially in Python and/or C/C++/Fortran. Strong motivation to work in an interdisciplinary environment at the interface of theoretical chemistry and quantum technologies. High level of self-motivation
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with the approaches that they are not yet familiar with. Programming skills in python and R with experience in statistical data analysis, especially with large omics datasets, are a strong bonus. You
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research methods (e.g. interviews) and/or qualitative analysis software such as MAXQDA Programming skills (e.g. Python) Knowledge of French and/or Arabic Previous experience working in international
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peer-reviewed papers in top-tier journals). Advanced programming skills (preferably in Matlab, R, Python), experience with probabilistic programming languages (e.g., Stan, Turing, Tensorflow), and high
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experience with most of these methods and are excited to expand their skillset with the approaches that they are not yet familiar with. Programming skills in python and R with experience in statistical data