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aims to address scientific and sectoral gaps in biological imaging from molecular, cellular, and tissue levels to organ and organism levels of organisation. The programme is coordinated by LINXS, Lund
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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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. Programming skills in R is a requirement, and programming skills in dynamic modelling in other languages is a merit. Fluency in spoken and written English is a requirement. Qualifications: PhD degree in ecology
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and mutualistic interactions. All interested candidates irrespective of age, nationality, gender, disability, religion or ethnic background are encouraged to apply. The team’s common language is English
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and independently plan scientific research, as well as collaborate with other project members. Excellent proficiency in English, both oral and written. Meriting Qualifications: Experience in
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science, image analysis or machine learning methods (iii) Programming knowledge in Python (iv) Very good oral and written communication skills in English (v) Strong skills in cooperation and communication
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to benefit from third-cycle education and have strong skills in written and spoken English. Proficiency in Swedish is considered a merit. Selection criteria Among applicants who meet the general and specific
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. The position will include supervision of MSc and to assist in grant applications from research funding agencies/councils, the EU framework program or the industry. The position might also involve teaching
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. The position will include supervision of MSc and to assist in grant applications from research funding agencies/councils, the EU framework program or the industry. The position might also involve teaching
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with applications in the infectious diseases and the transmission of antibiotic resistance genes. Strong programming skills in Python or equivalent programming languages is a requirement. Since the