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project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
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climate policy. It performs multiscale research from molecular to global scale and focuses on climate change, air quality, biogeochemical cycles and ecosystem processes. INAR has INAR Finland Network
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quality, biogeochemical cycles and ecosystem processes. INAR has INAR Finland Network partners in Finnish Meteorological Institute, University of Eastern 31Finland and Tampere University of Technology
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an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process while focusing on interesting computational problems and
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that currently suffer from observation gaps. By filling the observation gaps, we obtain a database essential to disentangle source and transport processes of SEPs and shed light on the underlying SEP acceleration
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process as the applications come in, so please don’t hesitate to apply. Please write your application and all accompanying documents in English and attach them in PDF format. Applications should include
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include some combination of the following, with flexibility depending on interests and experience: Design and simulation of III-V lasers and PIC architectures III-V (mainly GaAs) fabrication process
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computing, data science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications
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. All applicants will be notified during the selection process. We welcome applicants from all backgrounds, such as people of different ages, different genders, and members of different languages
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. Should you have any questions, need assistance or adjustments during the recruitment process, please contact phd-positions@helsinki.fi – we’re here to support you. A diverse and equitable study and work