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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
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statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
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significance of bioluminescence. We will also apply a range of advanced imaging techniques to visualize the light organs and their innervation. The successful applicant will be part of a highly interdisciplinary
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framework for understanding emergent deception in human-AI interaction by uniting behavioural-psychological, economic-strategic, and machine learning perspectives. The postdoc will be jointly supervised by
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synchrotron or laboratory 3D diffraction imaging is considered as a significant advantage. Excellent English communication skills are also essential As a formal qualification, you must hold a PhD degree (or
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modelling, or live neural imaging is desirable Experience working with neurons and knowledge in neurobiology is desirable Track record of international mobility is highly valued Publication record is
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and different industrial outreach activities The candidate has at least the following qualifications - Applicants should hold a PhD in Computer Engineering, Computer Science, or similar - Cyber-physical
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related genome editing approaches to disrupt biological processes that support prostate cancer progression with a focus on metabolism, hormonal and stress response signaling. Preparing samples
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science or similar area is required. The candidate is expected to have a profound knowledge on the majority of the following topics: Embedded systems programming Robot Operating System (ROS) experience Medical imaging
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should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in