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The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura Cantini, works at
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AI, Biomedical Informatics, Computational Biology, or a related field Strong programming skills in Python and modern ML frameworks Experience with deep learning and large language models Strong
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activities. Collaborate with academic partners, National Public Health Institutes, ministries of health, and other public health stakeholders. Where to apply Website https://www.academictransfer.com/en/jobs
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experience with statistical software languages (R, Stata, or Python). Leadership and excellent communication skills, with strong adaptability and initiative skills. Excellent English proficiency. Specific
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experience in a plant breeding program Proficiency in programming languages such as R and Python Familiar with bioinformatics tools Experience in analyzing genomic data Primary Responsibilities: Supporting and
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motivated basic research, education and faculty recruitment. Read more: https://wasp-sweden.org/ Qualifications To be appointed under the postdoctoral agreement, the postdoctoral fellow is required to have
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leading machine learning and/or computer vision venues; Excellent programming skills, particularly in Python and PyTorch; Excellent written and oral communication skills in English; The ability to conduct
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PhD or equivalent qualification in a relevant field by the date of employment. Desired Qualifications: PhD in any engineering discipline. Strong proficiency in coding, including coding in python
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skills, preferably in Python, experience with JAX is a plus; You have experience with simulation-based or quantitative research; You have the ability to work independently and as part of a
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-changing careers. Learn more about Sandia at: https://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: We are seeking motivated postdoctoral candidates to advance