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for the research topic “Modelling the impacts of soil pollution on soil ecosystem services”. The topic is focused on ecosystem services, soil ecotoxicology, soil contamination, and ecological risk assessment. The
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latest technologies Flexible working hours, part-time models as well as home office A corporate culture of appreciation and promotion of equal opportunities Extensive training and continuing education
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in vivo PD models (α-Syn oligomer injection, behavioral testing, MRI) and in vitro studies (primary neuronal cultures, molecular and imaging techniques), we will dissect the role of P2X7R in: oxidative
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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
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, fairness). Provenance and integrity of machine learning pipelines. Generative content authenticity. Cyber-physical machine learning systems. Scalability of properties from small to large models. In
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our
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, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our
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, the process of host infection remains poorly understood at the molecular level. The fd phage, which specifically infects Escherichia coli, has been used as a model for studying these viruses. This phage
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locomotion. Apply machine learning and machine vision algorithms to track body and limb movements. Use biomechanical modeling to analyze walking data and fit locomotion models. Operate a force sensor to