Sort by
Refine Your Search
-
The Faculty of Science invites applications for a POSTDOCTORAL RESEARCHER IN MACHINE LEARNING FOR NATURE CONSERVATION starting from August 2025 or as agreed. The Postdoctoral Researcher will be
-
strong publication record and a solid background in computational RNA biology, particularly in alternative splicing regulation, are our top priorities. Expertise in machine learning and human omics data
-
estimation and data fusion, AI and machine learning techniques, collaborative positioning methods for threat localization, etc.. The researcher will participate in all the PhD-related activities (attending
-
, are our top priorities. Expertise in machine learning and human omics data analysis is highly advantageous. The ideal candidate should demonstrate a high level of independence while also valuing
-
-related salary element. Our requirements a PhD in environmental sciences, geography, hydrology, remote sensing, ecology, or a related field; the doctoral degree may not have been completed more than five
-
and control and software development. All topics have a heavy focus on AI-based methods (e.g., machine or deep learning) and their real-time execution on real robot systems. Research takes inspiration
-
and the Neuroscience Center or the Department of Computer Science, respectively. Who can apply The candidates are expected to have: a PhD degree in one of the relevant fields, an ability to conduct
-
applying tools from computer simulations and machine learning. The position is fixed-term and the starting time is 01.06.2025, or as soon as possible thereafter, based on mutual agreement. The contract
-
, are our top priorities. Expertise in machine learning and human omics data analysis is highly advantageous. The ideal candidate should demonstrate a high level of independence while also valuing
-
a related quantitative field. The position requires: Programming Proficiency: Experience in R and python programming, including data science and Machine Learning packages Experience in R and python