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Field
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development background with programming experience in Python, C++, MATLAB, or LabVIEW. Brief Description of Duties (Postdoctoral Associate): The selected candidates will join the Atmospheric Remote Sensing
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, characterisation and modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors, including pharmaceuticals, agrochemicals, and food industries
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Finland. Position in one or multiple of our research groups with highly diverse and international researchers Competitive salary: Postdoc: 4100 - 4300 Euro/month before taxes, depending on experience
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engage across multiple projects and research applications. Experience in the following areas is a preferred and will help the candidate succeed: Li-ion batteries, materials characterization, critical
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cluster. The successful candidate will conduct research under multiple Eratosthenes Centre of Excellence projects funded by the European Union, including the flagship Excelsior H2020 Teaming project (https
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in Finland here . Many of our international alumni have decided to stay in Finland. Position in one or multiple of our research groups with highly diverse and international researchers Competitive
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in Python, with experience in PyTorch, TensorFlow, and common ML libraries (e.g., scikit-learn, pandas). Publication record in peer-reviewed journals or top-tier AI/NLP/ML conferences. Strong
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stream chemistry data collected across a network of sites. The position will require downloading of data of field instruments and shared data repositories, and the development of code (R or Python based
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the analysis of multimodal spatial omics data across multiple projects, collaborating closely with experimental biologists. Main tasks and responsibilities: Develop and implement robust computational pipelines
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, equitable, trustworthy, and context-sensitive. Multi-agent architectures where multiple AI systems collaborate, negotiate, and adapt to model complex human learning processes and support group work