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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 10 hours ago
of Interdisciplinary Life Sciences. The Domestication Lab investigates behavioural and cognitive differences and similarities between wolves and dogs to gain insights into the domestication process. The team currently
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individual differences in stress vulnerability and resilience with a specific focus on how early life adversity shapes hippocampal and corticolimbic circuit function to influence fear behavior and cognitive
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modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages and tools. Ability to work with large datasets and to integrate these data with acoustics models
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learning, decision-making, belief updating) Coordinating large database of computational task data for harmonized analyses Modeling individual differences and within-person change over time in a longitudinal
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design software such as MATLAB/Simulink, LabVIEW or similar software are required. Experience working on quality monitoring of food and/or agriculture products is highly desirable. Experience in electronic
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) to soft matter or related systems; basic knowledge of scattering data modelling is essential. Data analysis skills and programming experience in Python or MATLAB. Ability to work effectively with multi
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MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods for neurophysiological signal interpretation and epilepsy research. Scientific
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, MATLAB, or similar analytical platforms. Create publication-quality figures, summaries, and presentations that communicate research findings effectively. Maintain organized, accurate, and reproducible
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development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
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design and printing. • Metamaterial design and analysis, preferably with strong expertise in COMSOL Multiphysics. • Strong programming experience: C++, Matlab, Mathematica, Python. • Publications