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that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new
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engineering, computer science, physics engineering, or equivalent) Programming skills in Python or another language Strong work ethic Fluency in English, with the ability to write, communicate, and interact in
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injection, organ/blood collection etc.) Proficiency in Python or R for bioinformatic analysis Strong scientific communication skills in English, both oral and written Meritorious for the position: Experience
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. The doctoral degree should be in a subject relevant to the project, such as physics. Fluency in English, both in oral and written forms, is mandatory. The candidate should have a strong interest in
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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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with farm animals is an advantage. strong communication skills in English (spoken and written). As a person, we want you to be: curious, driven, resourceful and excited to tackle real-world animal
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environment is international and English is the working language. If Swedish is not your native language and you are interested in learning it, Chalmers offers Swedish courses that are free for PhD students
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MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies/councils, EU framework program or industry. Qualifications In order to be eligible
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international collaborations. The Department is responsible for courses in 14 of SLU's educational programs, such as programs in agronomy, a bachelor's program in biology and environmental science, a master's
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postdoc fellow at the AMBER programme you will get unprecedented biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and researchers. When