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) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills (see below) are also encouraged to apply. Proficient in at least one programming language
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an exceptional opportunity to be an active member in an innovative, multidisciplinary research program at the interface of plant research, biochemistry and microalgal biotechnology. Qualifications To be admitted
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communication in English. Qualifications Experience with molecular biology techniques, tissue culture, and basic programming is desirable. You should be highly motivated and able to work productively in a team as
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below. The studentship provides an excellent training opportunity for a talented and ambitious student. The working ‘day to day’ language in the laboratory is English. PhD-programe: You who are admitted
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qualifications are: You need to have basic experience in the lab You need to have background knowledge of biochemistry, or related areas You need to have good oral and written proficiency in English Merits
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://moleculargeo.chem.umu.se/boily/ ) at Umeå University and R&D specialists at Boliden. The PhD student will also spend three months as an intern at Boliden and participate in activities and training programs within
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or knowledge in the following areas is essential: o Data analysis o Programming skills (e.g., Python, Matlab, and/or C/C++) o Proficiency in both written and spoken English. Terms of employment
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fulfilled at the time of application but only at enrollment. It is mandatory that the applicant must have very good skills in both spoken and written English. A strong interest in space physics and computer
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, 120 ECTS need to be in physics. The requirements do not need to be fulfilled at the time of application but only at enrollment. Fluency in English is mandatory. We are looking for a highly motivated
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, or relevant fields. Excellent programming skills in modern programming languages are required, as well as experience in computational or mathematical modelling. Experience with the analysis of biological data