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, joint source and channel coding, secure communications, jamming resilience techniques Optical communications Photonics and free-space optics: Photonics, free-space optics arrays, PAT - pointing
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on ARSPECTRA hardware in collaboration with their engineering team Contribute to open-source code, demonstrators and joint publications with ARSPECTRA and clinical partners Your profile PhD in computational
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programming and quantitative analysis Postdoctoral level: proven experience with global biogeochemical and/or Earth system models strong programming skills and experience working with model code and large
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(CV, research experience and interests, as well as three letters of reference, which should be sent directly by the referees), indicating the reference code, no later than January 26th , 2026 in PDF
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integrating biological data sources (clinical event sequences, genomic sequences, disease codes) into unified patient representations and state sequences for predicting disease progression and outcomes
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certificate from doctoral studies and other relevant degrees Contact details of two reference persons (email address and phone number with country code) The application should be written in English or Swedish
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, extensive experience with scientific coding in R and/or Python, and prior experience in applying quantitative methods and modelling to real-world questions in domains such as clinical or health psychology
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environments High proficiency in writing code for data analysis (e.g. using R / Python) and using relevant software Demonstrated capability of writing for publication in high-impact academic journals Excellent
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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epidemiology, pharmacogenomics, statistical genetics, or population genetics and experience in statistical and computational analyses of high-throughput omics data Ability to code in one or more scientific