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Field
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, such as model evaluation and data pipelines, and their applied forms, including training, fine-tuning, and deployment of models using frameworks such as PyTorch or TensorFlow. Solid proficiency in Python
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++ and/or Python) Authoring of scientific publications and a doctoral thesis Presentation of research results at international conferences Where to apply E-mail [email protected] Requirements
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Documented ability to work in Python Experience with machine-learning methods for record linkage and text analysis Documented experience with machine-learning methods for image-to-text transcription
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of microcontrollers possible) Tracer experiments in the stream In-depth data analysis using R, Python or Matlab Presentation and publication of scientific results About You: Essential Qualifications: An MSc degree in
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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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for completing these tasks is approximately 24 months, as stipulated in the resource allocation (Staff effort) section of Annex 1 of the Grant Agreement. Where to apply Website https://sede.udc.gal/services
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an academically equivalent or recognized corresponding degree from an institution abroad. 2. Demonstrated experience/knowledge of Python programming for artificial intelligence (PyTorch, Keras, or TensorFlow), as
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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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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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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