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position for 2 years) We are looking for an early career researcher interested in responsible use of large language models (LLMs) to facilitate and support qualitative research methods, particularly in
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researcher will be mainly supervised by Prof. Aki Manninen with an aim to develop cellular models and molecular strategies to validate and establish novel biosensor technologies. The position is part of a
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significant merit: (mammalian) cell culturing techniques, in vivo models, high throughput screening, molecular biology or bioinformatics excellent written and verbal communication skills (in English) strong
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equations. These have applications e.g., in medical and industrial imaging. In statistics the areas of research are computational statistics, causal models, design, nonparametric and robust multivariate
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societal challenges. We are now looking for a Doctoral Researcher or a Project Researcher in the field of computational materials modelling. You will be working on a project funded by the Research Council
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bioassay development and validation previous experience on one or more of the following fields is considered a significant merit: (mammalian) cell culturing techniques, in vivo models, high throughput
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leveraging existing databases of abundance time series and genetic sequence data and using a combination of modelling approaches and synthesis to systematically quantify change across multiple biodiversity
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biology studies to identify and characterize adaptive homeostatic responses in novel disease models. These insights hold significant translational potential, particularly for pharmaceutical companies
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mechanisms, including differential privacy and secure aggregation. The research focuses on theoretical advancements, emphasizing algorithmic analysis, convergence guarantees, and mathematical models
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biology studies to identify and characterize adaptive homeostatic responses in novel disease models. These insights hold significant translational potential, particularly for pharmaceutical companies