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. The employment of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD-studies may be appointed to doctoral studentships. When an appointment to a
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the research and teaching environment at the department, as well as in the everyday activities of the project, including reporting to FORMAS. More information about the project: https://portal.research.lu.se/en
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execution of experiments, and discuss development of eg. user sample environments or analysis code for nanoprobe experiments As a scientist, you are ready to perform scientific research or nanoprobe method(s
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, the following are also required: Strong knowledge and skills in one or several areas such as or similar to: Cryptology, Data Security, Coding Theory, Abstract Algebra, Number Theory, Discrete Mathematics
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of changes in ice-nucleating aerosols, including those from anthropogenic emissions, on clouds and climate. The work will involve coding with FORTRAN 90 in a linux environment. The work will be performed in a
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, in Sweden or abroad. The employment of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD-studies may be appointed to doctoral
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data analysis (including coding in R, Stata and Python). Management (with SQL), with special emphasis on machine and deep learning methods, referencing software (e.g. Endnote). Excellent written and oral
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in some other way, in Sweden or abroad. The employment of doctoral students is regulated in the Swedish Code of Statues 1998:80. Only those who are or have been admitted to PhD-studies may be appointed
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research. You have a PhD in biochemistry, biophysics, chemistry, computational biology, or a related field. You have very good oral and written proficiency in English. You have a solid coding foundation and
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, computational biology, or a related field. You have very good oral and written proficiency in English. You have a solid coding foundation and comfortable developing and maintaining computational protein design