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. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and
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analysis. • Contributing to Humlab's regular program activities, which may involve developing and conducting short courses, participating in various events and arrangements, supporting teachers and
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to develop and carry out high-quality research. Teaching skills. The main criterion for a postdoctoral fellowship is research expertise. Only applicants whose research plan and earlier work can strengthen the
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needs and development. Actively participate in seminars and other relevant meetings, and present the project according to the study plan. Qualifications Requirements for the position are: Doctoral degree
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for the processing of medical images. Fluency in Python programming language. Familiarity with Bash. Excellent communications skills in English, both verbal and written. We are looking for someone who is motivated
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implementation. About the project Reactive synthesis refers to the automatic generation of programs from high-level behavioral specifications. This approach plays an increasingly important role in areas such as
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related field. At least three years of documented professional experience in bioinformatics-related system development. Excellent knowledge of Python or similar programming languages. Experience using Git
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department currently has approximately 60 employees and is responsible for two Master of Science (MSc) programs, two Bachelor of Science (BSc) programs, and one Bachelor of Science (BSc) program. We also have
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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leading to production and harvesting in the regulated countries moving to unregulated countries. The position is part of a joint research program between Swedish University of Agricultural Sciences (SLU