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Field
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discipline. Additional requirements are: A strong foundation in statistical modelling and inference; demonstrated experience of developing new statistical methodology; very good programming skills; good
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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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-facing web GIS dashboard. Investigate the forest, landscape, and climate conditions that drive storm susceptibility, using major windstorms as natural experiments and interpretable machine-/deep-learning
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, optimization, or related fields. Proficiency in scientific programming (e.g., Python, Julia, or C++) and experience implementing optimization algorithms. Proven ability to work both independently and in
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structured manner, as well as excellent collaboration skills, be able to independently plan and conduct experimental studies and effectively manage and resolve unforeseen challenges, have experience with cell
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written proficiency in English. Documented experience of programing and/or energy system modelling Assessment criteria This is a career development position primarily focused on research. The position is
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through publications. Experience of analytical methods such as elemental analysis, spectroscopy (e.g. FTIR), chromatography or thermal analysis (e.g. DSC or calorimetry). Very good command of English
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projects within the lab’s research program Perform in vivo calcium imaging and behavioral experiments Analyze neuronal and microglial activity datasets (e.g., calcium imaging) Conduct immunohistochemistry
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· Designing and performing experiments · Data analysis and manuscript preparation · Presentation of results internally and externally · Collaboration with other scientists
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, genomics or a related field. Prior experiences with molecular biology methods, cell biology and plant developmental biology are assets. Good oral and written communication skills in English are expected. You