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mechanisms, flexibility markets, and business models for distributed energy resources. Assess the economic viability and market performance of different Local Energy Community configurations. Collaborate in
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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under different operating conditions. Secondments: ESA (during 3 months): training on the Power Distribution Systems and the challenges for the coming Space exploration missions. UNIPD (during 6 Months
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-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different areas of nanoscience and
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infrastructure, which includes nine large trench systems for the collection of subsurface flows. This unique replicated design across different landscapes and land uses now allows for a systematic study of SSF
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with Python-based community tooling such as the BrainGlobe Atlas API. Collaborate with cluster-hire colleagues in behavioral neuroscience, circuit imaging and mapping, and ML/AI to translate research
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and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic
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” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most
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frameworks. Further, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. A good understanding of hydrodynamic
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Experience integrating behavioral readouts with whole-brain or mesoscale imaging datasets Basic familiarity with quantitative or computational methods for behavioral data analysis (Python, MATLAB, or R