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Field
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, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible
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tumor cells, cell-free DNA, extracellular vesicles) Familiarity with single-cell omics methods (scRNA-seq, proteomics) Basic bioinformatics skills (R, Python, or similar) Experience working with patient
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hardware design: Verilog/SystemVerilog RTL, logic synthesis, and place-and-route Be familiar with Python programming Have a working proficiency in English. (Finnish language is not required.) The following
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sensing, AI-based methods and data-driven hydrological models, as well as experience in operationalising real-time hydrological systems and programming in, for example, Python. In addition, you are expected
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with Python-based community tooling such as the BrainGlobe Atlas API. Collaborate with cluster-hire colleagues in behavioral neuroscience, circuit imaging and mapping, and ML/AI to translate research
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-level computer languages like C++ or Python, Java, etc.; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language _______ ***We
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after one year of employment. Technical Skills or Knowledge: Proficiency in Python and deep learning frameworks such as Pytorch. Preferred Competencies Outstanding verbal and written skills
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with R and Python required. Application materials needed: 1. CV 2. A one-page cover letter that includes your research experience and interests, career goals as well as your preferred approximate start
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learn new things - A strong programmer who’s comfortable with Python - An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas
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frameworks. Further, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. A good understanding of hydrodynamic