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bioinformatics, computer science, data science, or another relevant field experience in analyzing large biological datasets (e.g. genomics, transcriptomics, or proteomics) programming skills (e.g. R, Python
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required, but having some background in microbial work can be an advantage, as well as good computational skills and solid understanding of statistics, and in particular the R environment. Good written and
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, M., Leinonen, R., Lehikoinen, A., Pöyry, J., Suuronen, A., Salemaa, M., Tonteri, T., Vuorio, K. M., Skjelbred, B., Järvinen, M., Drakare, S., Carvalho, L., Welk, E., Seidler, G., Vangansbeke, P
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from partisan sorting: Evidence from Finnish Twittersphere. Global Environmental Change, 71, 102348. Aledavood, T., Luong, N., Baryshnikov, I., Darst, R., Heikkilä, R., Holmén, J., ... & Isometsä, E
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.-L., Saastamoinen, M., Conenna, I., Hällfors, M., Santangeli, A., Kaarlejärvi, E., Heliölä, J., Huikkonen, I.-M., Kuussaari, M., Leinonen, R., Lehikoinen, A., Pöyry, J., Suuronen, A., Salemaa, M
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machine-learning, neural-networks, statistical inference and data modelling is a bonus. Prior experience in some computer programming language is expected (Python, Julia, R, Matlab etc). Excellent
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opportunities for continues employment as Post-Doctoral Researcher within University or within Wartsila R&D. The salary is based on both the job requirement and the employee’s personal performance in accordance
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Finnish is strongly valued. In order to succeed in this position you need: Proficiency in programming languages like Python, R, or C++ Experience with AI and ML libraries and frameworks (e.g., TensorFlow
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languages such as Python, R, Julia, Fortran, or C/C++ Excellent written and spoken English Ability to work independently and as part of a multidisciplinary team Strong experience in scientific writing (e.g
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microbiology, computer science, or bioinformatics (or a related field). Prior experience in R and coding is expected. Experience in analysing high-throughput sequencing data is a bonus. Excellent communication