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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/14302?offset=110</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/42903/katherine-belov-lab</guid>
  <pubDate>Sun, 21 Feb 2021 22:59:35 -0600</pubDate>
  <link></link>
  <title><![CDATA[Katherine Belov Lab]]></title>
  <description><![CDATA[
<p>Evolution of the adaptive immune system Marsupial and monotreme immune genes MHC Diversity and Conservation Marsupial and monotreme genomics Comparative Genomics Genetics of Tasmanian Devil facial tumour disease</p>

<p>More at https://www.sydney.edu.au/science/about/our-people/academic-staff/kathy-belov.html</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44756/phd-hunt-your-gateway-to-nordic-academic-opportunities</guid>
	<pubDate>Thu, 02 Jan 2025 19:55:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44756/phd-hunt-your-gateway-to-nordic-academic-opportunities</link>
	<title><![CDATA[PhD Hunt: Your Gateway to Nordic Academic Opportunities]]></title>
	<description><![CDATA[<p>Embarking on a PhD journey is a transformative step in academia. To ease this transition, we brings you a curated list of top resources and institutions across Denmark, Sweden, Norway, and Finland. These links will guide you through finding opportunities and navigating the academic landscape in the Nordic region.</p><p><strong>PhD Opportunities in Denmark Denmark boasts a robust academic infrastructure with world-class universities. Here are some essential resources:</strong></p><p>Study in Denmark: <a>https://studyindenmark.dk</a></p><p>Aarhus University: <a>https://phd.au.dk</a></p><p>Euraxess Denmark: <a>https://euraxess.dk</a></p><p>Technical University of Denmark (DTU): <a>https://dtu.dk</a></p><p>University of Copenhagen: <a>https://phd.ku.dk</a></p><p>Copenhagen Business School: <a>https://cbs.dk</a></p><p>Jobindex: <a>https://jobindex.dk</a></p><p>Roskilde University: <a>https://ruc.dk</a></p><p>University of Southern Denmark: <a>https://sdu.dk</a></p><p>Academic Positions Denmark: <a>https://academicpositions.dk</a></p><p><strong>PhD Opportunities in Sweden Sweden is renowned for its innovation-driven academic culture. Here&rsquo;s where you can find opportunities:</strong></p><p>FindAPhD Sweden: <a>https://findaphd.com/phds/sweden</a></p><p>Euraxess Sweden: <a>https://euraxess.se</a></p><p>Academic Positions Sweden: <a>https://academicpositions.se</a></p><p>KTH Royal Institute of Technology: <a>https://kth.se</a></p><p>Lund University: <a>https://lu.se</a></p><p>Uppsala University: <a>https://uu.se</a></p><p>Chalmers University of Technology: <a>https://chalmers.se</a></p><p>Link&ouml;ping University: <a>https://liu.se</a></p><p>Stockholm University: <a>https://su.se</a></p><p>Swedish University of Agricultural Sciences (SLU): <a>https://slu.se</a></p><p>Study in Sweden: <a>https://studyinsweden.se</a></p><p>Malm&ouml; University: <a>https://mau.se</a></p><p><strong>PhD Opportunities in Norway Norway offers unique research opportunities, complemented by its stunning natural landscapes:</strong></p><p>JobbNorge: <a>https://jobbnorge.no</a></p><p>Euraxess Norway: <a>https://euraxess.no</a></p><p>University of Oslo: <a>https://uio.no</a></p><p>Norwegian University of Science and Technology (NTNU): <a>https://ntnu.edu</a></p><p>Norwegian Business School (BI): <a>https://bi.edu</a></p><p>Norwegian School of Economics: <a>https://nhh.no</a></p><p>Norwegian University of Life Sciences (NMBU): <a>https://nmbu.no</a></p><p>Norwegian School of Sport Sciences: <a>https://nih.no</a></p><p>University of Bergen: <a>https://uib.no</a></p><p>Nord University: <a>https://nord.no</a></p><p>UiT The Arctic University of Norway: <a>https://uit.no</a></p><p><strong>PhD Opportunities in Finland Finland&rsquo;s education system emphasizes research excellence and innovation. Explore these resources</strong>:</p><p>FindAPhD Finland: <a>https://findaphd.com/phds/finland</a></p><p>Euraxess Finland: <a>https://euraxess.fi</a></p><p>University of Helsinki: <a>https://helsinki.fi</a></p><p>Aalto University: <a>https://aalto.fi</a></p><p>University of Turku: <a>https://utu.fi</a></p><p>Tampere University: <a>https://tuni.fi</a></p><p>University of Eastern Finland: <a>https://uef.fi</a></p><p>University of Jyv&auml;skyl&auml;: <a>https://jyu.fi</a></p><p>&Aring;bo Akademi University: <a>https://abo.fi</a></p><p>Hanken School of Economics: <a>https://hanken.fi</a></p><p>LUT University: <a>https://lut.fi</a></p><p>Conclusion The Nordic countries offer exceptional opportunities for PhD aspirants. From top-ranked universities to specialized research institutions, the possibilities are endless. Bookmark PhD Hut as your starting point, and let these resources guide you to your academic aspirations.</p>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/45351/ai-uncovers-hidden-secrets-in-bacterial-dna-opening-new-frontiers-in-genomic-research</guid>
	<pubDate>Fri, 25 Sep 2026 22:38:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/45351/ai-uncovers-hidden-secrets-in-bacterial-dna-opening-new-frontiers-in-genomic-research</link>
	<title><![CDATA[AI Uncovers Hidden Secrets in Bacterial DNA, Opening New Frontiers in Genomic Research]]></title>
	<description><![CDATA[<div style="margin-top: 0.5em; margin-bottom: 0.5em;">Scientists are now using artificial intelligence in order to examine sections of bacterial DNA that have not been looked at before. This method is showing potential RNA interactions and previously unknown genetic systems which could alter our understanding of microbes. A new study presents Minerva, a genome language model, demonstrating that AI can assist researchers in identifying biological patterns that traditional techniques might fail to detect.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">The study, which was made available as a preprint on bioRxiv on 23 September 2026, focuses on the non-coding sections of DNA that are still largely unknown. Although these areas do not produce proteins, they can contain important signals and instructions which have an effect on cell function. The research presents a novel approach to investigating how bacteria handle and control their genetic information.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;"><span style="font-weight: bold;">AI maps previously unexplored genomic regions</span></div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">The team developed Minerva in order to identify possible interactions between different regions in microbial genomes; rather than depending on similarities with known sequences, Minerva predicts these relationships directly from the DNA by using patterns learned by a genome language model.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">On 150 bacterial genomes, Minerva identified a large number of interactions that were not included in the existing annotations. The researchers stated that 84.3 per cent of the predicted intergenic base-pairing interactions were not present in the current annotations, which demonstrates that AI can be of help in generating new ideas in biology.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;"><span style="font-weight: bold;">Unusual RNA structures and viral genetic systems identified</span></div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">The study also examined a bacterial RNA family known as TwoAYGGAY in Pseudomonas; the model anticipated longer RNA structures and identified associations with repeated DNA sequences, thus providing new insights into how these non-coding elements are organised and how they have evolved.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">In a separate section of the study, the researchers examined reverse transcriptase systems associated with bacteriophages, which are viruses that infect bacteria. They identified RNA arrays that maintain their structure but have different sequences and were linked to Unknown Group 27 reverse transcriptases. The findings indicate that these RNAs could function as templates for the production of complementary DNA that is capable of forming hairpin shapes.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">The researchers also observed that Minerva was able to detect patterns associated with protein-coding areas, even though it had not been trained to do so. This indicates that genome language models may pick up on biological signals that go beyond what they were intended to identify.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;"><span style="font-weight: bold;">Implications for future genomic research</span></div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">The fact that artificial intelligence is becoming increasingly important in the field of microbial genomics is shown by the fact that models such as Minerva are able to predict interactions and identify patterns in areas which have not been extensively studied, thus helping researchers to decide what to study next and enabling them to gain a better understanding of biological systems that are still not well understood.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">Yet the predictions do not reveal the exact function of each element identified. In order to verify which of the predicted interactions actually take place in living cells and the way in which they affect the microbes, experiments will be necessary. Although the study has undergone peer review, it does nonetheless offer a promising illustration of how machine learning can complement traditional genomics and assist scientists in moving from the identification of known genes to the exploration of the complex relationships that shape microbial life.</div><div style="margin-top: 0.5em; margin-bottom: 0.5em;">More at https://www.biorxiv.org/content/10.64898/2026.09.22.753630v2.full.pdf</div><div style="color: #000000; font-size: medium;">&nbsp;</div>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/40868/inrae-organises-open-competitions-to-recruit-research-scientists-on-permanent-positions</guid>
  <pubDate>Sun, 02 Feb 2020 23:08:36 -0600</pubDate>
  <link></link>
  <title><![CDATA[INRAE organises open competitions to recruit research scientists on permanent positions.]]></title>
  <description><![CDATA[
<p>Each year, INRAE organises open competitions to recruit research scientists on permanent positions. The recruitment campaign is generally aimed at researchers who have recently obtained their PhD. Candidates are recruited on the basis of their scientific competence which they will put to the service of INRAE's major research axes by responding to a research topic. Candidates must have published articles on the results of their PhD.</p>

<p>Campaign calendar:</p>

<p>- Opening date for applications: January 30, 2020<br />- Deadline for applications: March 5, 2020<br />- Pre-selections: April-May 2020<br />- Final selections: May-June 2020<br />- Starting date for appointments: from September 2020</p>

<p>More at https://jobs.inrae.fr/en/open-competitions/open-competions-research-scientists-crcn</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/43092/where-to-aproach-for-rd-funds-in-india</guid>
	<pubDate>Thu, 24 Jun 2021 01:04:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/43092/where-to-aproach-for-rd-funds-in-india</link>
	<title><![CDATA[Where to Aproach for R&amp;D Funds in India ?]]></title>
	<description><![CDATA[<p>Companies and governments do research and development (R&amp;D/ R'n'D/ R+D) to promote innovation in order to produce new goods or services and/or enhance existing product lines. R&amp;D covers all actions inside an organization aimed at boosting innovation, such as creating incubators, assisting innovators in scaling up their ideas, and cultivating an innovation culture.</p><p>Here are the list of all the research and development funding agencies in India.</p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/43092" length="73912" type="application/pdf" />
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