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Field
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skills (Python, TensorFlow, PyTorch, scikit-learn, etc.). Excellent stakeholder engagement and communication skills, with a record of working with SMEs or innovation-focused organisations. Desirable
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/ ) at the centra for molecular life sciences – SciLifeLab. The project takes place in collaboration with researchers at the centra with the goal of analyzing cellular processes on the nanoscale. Project aims and
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. Proficiency in Python programming and major ML/DL frameworks (e.g., PyTorch, TensorFlow). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge
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Python, using GPUs), with the precise balance determined by the candidate’s background and interests. The mathematical tools involved will include matrix analysis, optimization, backward error analysis
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source level with Python and MNE-Python - Pipeline development in Python and MNE-Python - Articles preparation, presentations and workshopsmantenimento di codice open source. The position is hosted
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, SAS or Python. Excellent written and verbal communication skills. Experience analyzing real-world health, clinical, or biomedical data. Demonstrated ability to work independently and collaboratively in
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(Perl or Python, R, Linux tools, bash scripting) Experience in presenting at conferences Excellent publication record Strong motivation and dedication, scientific writing skills, problem-solving skills
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preferred; experience conducting original scientific research as well as publishing in scientific journals; demonstrated skills in scientific programming (Python preferred), workflow automation, and/or
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Engineering, or related. Strong experience in ODE/PDE modeling and simulation (MATLAB, Python, or R). Experience withnumerical methods, optimization, parameter estimation, and sensitivity and uncertainty
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subject by the start date of the appointment Good programming skills (r, Fortran, Python) Familiarity with eco-evolutionary optimality approaches to modelling vegetation Experience with working with large