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biology, pharmacology and/or immunology. Experience in statistical bioinformatics, including developing analysis pipelines and applying programming (R/Python) to genomic/transcriptomic data. Strong written
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, optimization, control, probability/statistics, game theory, mechanism design, or machine learning (at least one) Programming experience (e.g., Python, Julia) Strong analytical thinking and problem-solving
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candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning
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, material processing, and/or atomistic simulations is an advantage. Excellent analytical skills and proficiency in scientific programming (e.g. in python) are an advantage. Excellent oral and written
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field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and data science. Fluency in English, Python, and C/C plus plus are required. Experience
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or another field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and data science. Fluency in English, Python, and C/C plus plus are required
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scientific programming, e.g. using Python, is expected. As we work in international environment it is important that you have a good communication skills in both spoken and written English, and experience in
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systems is an advantage. Basic to intermediate proficiency in Python, particularly for data analysis, modeling workflows, or automation, is desirable. Interest in electrochemistry, molecular modeling, and
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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skills (mandatory): Strong understanding of sustainable AI or related areas Experience of programming in Python / C / Java or equivalent Experience with using Machine Learning software, e.g. PyTorch