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studies in the field of forestry, ecosystem management, simulation modeling or related fields Interested in the diversity and resilience of forests Knowledge on forest ecosystem service provisioning Good
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behavioral assessment in mouse or rat models (animal care, anxiety, locomotor activity, memory assessment, pharmacological injections) Knowledge and/or expertise in neuroscience-related experiments
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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image analysis and animal models is desirable. We especially welcome applications from enthusiastic candidates with prior knowledge of a broad variety of laboratory research methods and human and/or mouse
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to the design, development and writing of research and knowledge exchange proposals. Essential Interview Experience of undertaking decision-analytic modelling for public health interventions using modelling
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 14 hours ago
or Engineering Where to apply Website https://www.iisgm.com/ofertas-de-empleo/ Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Minimum job requirements: The
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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Models, Knowledge Graphs, and related fields (e.g., Graph Machine Learning) Tasks: scientific research in at least one of the following areas: Natural Language Processing, Knowledge Graphs, Machine
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 7 days ago
the handling of animal data as well as deep knowledge in mathematical modelling and optimization. Thus, a master's degree in computer science or a related field is required. Main Research Field: Mathematical
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Alzheimer’s disease. The successful candidate will join a dynamic and collaborative research environment focused on uncovering the cellular and molecular mechanisms driving cognitive decline and