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want to grow into strong engineers and researchers in either: data & systems for high-frequency pipelines, and/or machine learning models, infrastructure and experimentation Strong fundamentals
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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models A curious mind and solid skills in critical thinking and problem solving Very good communication skills in English and ability to collaborate in multidisciplinary teams Ability to write research
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sequencing, with emphasis on TCRs and BCRs profiling and predictive models for patients stratification. Requirements The ideal candidate should meet the following criteria: Applicable doctoral degree in
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physics https://www.tuni.fi/en/about-us/computational-physics Modeling and simulations have an increasing role in fundamental sciences and they are also pivotal in the analysis, interpretation and
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, create new research and development needs related to occupational and environmental safety and resilience. At the same time, new technologies such as rapidly developing large language models, wearable
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functions as a core, cross-cutting research theme, enabling the development of novel analytical tools, models, and decision-support systems. The group’s research agenda covers both new construction and
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, in pre-clinical models for in vitro testing of implants. Doctoral candidate will also be involved in dissemination through social media promotion of the network, such as project website, LinkedIn
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images, media and ways of looking at screen interfaces. Modeling of future screen interactions: Formulating a heuristic framework for screen-based interactions. The doctoral researcher will be guided