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-trivial software. Solid understanding of algorithms, numerical methods, scientific computing, or machine learning. Ability and motivation to write clean, maintainable and well-tested code. Strong interest
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pharmacology, to better understand the complex interplay of the many factors that drive cardiometabolic disease. You can learn more in the Executive Summary of CBMR's Strategy 2024–2028 . CBMR was established in
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approaches where required. Perform electrical and high-frequency measurements to assess device behaviour, signal characteristics, temporal response, repeatability and device-to-device variability. Acquire and
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% of your time), including tutorials and supervision of Bachelor’s theses. This is what we ask of you This is an interdisciplinary project that combines machine learning and AI, probabilistic risk
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information systems or are willing to acquire such skills through dedicated training during the first year. Terms and Conditions An employment contract for 4 years, with an initial one-year contract subject to
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workflows to implement such interactions into supramolecular hosts (pubs.rsc.org/en/content/articlelanding/2022/cc/d2cc00532h ). You will learn a wide range of molecular modelling and data-driven techniques
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ReDiLEEP training in response diversity methods, data management, reproducible code, R/Tidyverse, machine learning and AI for ecologists, visualisation, evidence-based policymaking, science-policy
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. We are open to candidates from different academic backgrounds both within and outside business administration. The candidate will be expected to teach within management and control. As many courses
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of technological disruption driven by Artificial Intelligence, we propose to analyze the data and quantify these similarities by exploring various applications of machine learning methods. With the advancement of AI
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. Independence in learning and working, with documented research productivity. You will enroll in the PhD program (4 years) at the Faculty of Science, University of South Bohemia ( https://www.prf.jcu.cz/en